Upcoming Apache Ignite Events

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Virtual Meetup

In-Memory Computing Essentials for Java Developers and Architects

Java.IL - the Israeli Java Community, Denis Magda
November 30, 2020

This session is for software engineers and architects who build data-intensive applications and want practical experience with in-memory computing. You will be introduced to the fundamental capabilities of distributed, in-memory systems and will learn how to tap into your cluster’s resources and how to negate any negative impact that the network might have on the performance of your applications.

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Webinar

How to Deploy Change Data Capture Using Debezium in Apache Ignite and GridGain

Webinar, Evgenii Zhuravlev
December 2, 2020

Kafka with Debezium and GridGain connectors enables change data capture (CDC) based synchronization between third-party databases and GridGain clusters. Synchronization that is based CDC does not require coding; all it requires is to prepare configuration files for each of the points.

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Conference

In-Memory Computing Essentials for Java Developers and Architects

jLove conference, Denis Magda
December 4, 2020

This session is for software engineers and architects who build data-intensive applications and want practical experience with in-memory computing. You will be introduced to the fundamental capabilities of distributed, in-memory systems and will learn how to tap into your cluster’s resources and how to negate any negative impact that the network might have on the performance of your applications.

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Virtual Meetup

How to Use Apache Ignite to Rescue the Backend of a Bank

Virtual Apache Ignite® Meetup, Mikhail Antonov
December 8, 2020

As users transition to digital channels, the load on the bank's systems has increased. For example, since the beginning of 2020, the number of requests to the ABS subsystems from Raiffeisen-Online has grown by a third. Therefore, load reduction and system scaling are constant and top priorities. Mikhail Antonov will talk about what options were considered, why Ignite was chosen, what the solution architecture looks like, and what the development plans are.

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Virtual Meetup

Using Apache Ignite’s Compute Grid to Integrate the Drools Rules Engine

Virtual Apache Ignite® Meetup, Ken Cottrell
December 8, 2020

In this brief talk and demo, Ken will show you some of the techniques that you can use with Apache Ignite’s compute grid to broadcast, deploy, and then run Drools/Kie business rules that are co-located with the data in the clusters. Ignite cluster nodes, each of which contains local Drools servers, then process simultaneously and in parallel.

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Webinar

Apache Ignite Workshop: Developing Applications That Are Easy to Manage

Webinar, Alexey Kukushkin
December 9, 2020

Typically, operations exceed fifty percent of the cost of an IT system’s life cycle. By developing applications that can be easily managed, developers can significantly reduce the cost of ownership. Manageability is especially important for distributed applications because they are especially complex and often mission-critical.

Browse the Apache Ignite groups and find one near your area.

Past Events

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Webinar

How to Leverage the Gridgain Operator for Kubernetes to Deploy Apache Ignite

Webinar, Alexander Shapkin
November 18, 2020

The GridGain Operator for Kubernetes enables you to deploy and manage Apache Ignite and GridGain clusters efficiently. The automation that Kubernetes and the Operator provide simplifies provisioning and minimizes the operational and management burden.

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Virtual Meetup

Apache Ignite from Scratch: Live Coding of a Naive Distributed System in Java

Virtual Apache Ignite® Meetup, Denis Magda & Val Kulichenko
November 17, 2020

Apache Ignite is designed as a black box that hides the complexities of distributed databases. However, by knowing how internal components work and how the distributed databases function, you can pave the way for advanced optimizations and sophisticated solutions that are powered by Ignite. During this live coding session, we build a naive implementation of a distributed database that mimics the major components of Ignite.

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Webinar

Distributed Application Development Training: Approaches for User Authentication

Webinar, Denis Mekhanikov
November 12, 2020

During this webinar, we review various approaches to storing and using authentication data in distributed applications. Moving from the simplest to the most complex models, we consider the pros and cons of each approach. We give special attention to one of the most popular approaches to distributed sessions—single sign-on.

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Conference

Performance and Fault-Tolerance of Apache Ignite's Network Components

In-Memory Computing Summit, Stanislav Lukyanov
October 29, 2020

Networking is a core pillar of any distributed system. Data transfer, clustering, and failure detection are all done by the system's networking . Network architecture can greatly influence operational performance and efficiency. This talk introduces you to how Apache Ignite's networking layer makes it performant and resilient.

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Conference

Engineering Overview of GridGain Nebula Managed Service: How We Deploy GridGain/Apache Ignite in Clouds

In-Memory Computing Summit, Andrey Alexandrov
October 29, 2020

A managed service offering (MSO) is usually thought of as a magic black box. You deploy your database or application as part of an MSO in a cloud environment, and then your solution is scaled, load-balanced, patched with security fixes and kept up-and-running day and night. To make such services functional and reliable, the engineers who develop MSOs have to solve many challenges. The challenges are related to deployment in the cloud and in Kubernetes environments, monitoring, fault-tolerance, and recovery. Join this technical deep-dive, led by Andrey Alexander. Andrey guides you through the internals of GridGain Nebula, a managed service for Apache Ignite. Learn how to deploy Apache Ignite and how to monitor best practices for cloud environments.

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Conference

Hyper-parameter Tuning and Distributed Stacking with Apache Ignite ML

In-Memory Computing Summit, Alexey Zinoviev
October 29, 2020

The distributed machine learning algorithms are presented in one greatest library widely known as Spark MLlib, but the current implementation of ML algorithms in Spark has several disadvantages associated with the transition from standard Spark SQL types to ML-specific types, a lack of support for ensembles methods like stacking, boosting and bagging, a low level of algorithms' adaptation to distributed computing, a relatively slow speed of adding new algorithms to the current library and only basic support for hyper-parameter tuning including Grid Search and Cross-Validation methods.

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Conference

Apache Ignite Extensions - Modularization

In-Memory Computing Summit, Saikat Maitra
October 28, 2020

Apache Ignite Extensions to allow Apache Ignite codebase host core modules capabilities and migrate 3rd party integrations in a separate repository. We will discuss the changes that would be required in user applications to prepare for Apache Ignite upgrade and Apache Ignite Extensions migration if any of the migrated extensions modules are used.

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Conference

Analyzing and Debugging Ignite Applications for Performance

In-Memory Computing Summit, Greg Stachnick
October 28, 2020

In this demo-driven session, you will learn how to enable tracing in your Ignite application, how to collect and analyze span data, and how to debug the various parts of the application lifecycle. We will also identify key performance metrics which you should be aware of when monitoring production applications.

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Conference

Going Cloud-Native: Serverless Applications With Apache Ignite

In-Memory Computing Summit, Denis Magda
October 28, 2020

Serverless computing allows you to design and build scalable cloud-native applications without thinking about infrastructure provisioning and orchestration. With Apache Ignite, you can bootstrap an in-memory cluster in the cloud and access data 100-1000x faster than with disk-based databases. Join Denis discussing architectural patterns and design considerations for deploying Apache Ignite in a serverless computing environment.

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Conference

Training: Setting Up Apache Ignite Management and Monitoring Solution With GridGain Control Center

In-Memory Computing Summit, Denis Magda
October 27, 2020

This instructor-led training is for those wondering how to monitor and manage Apache Ignite (or GridGain) clusters in production: what the most important metrics are, how to set up alerting or troubleshoot performance when the cluster is under the production load, and how to do cluster backups. The list of questions and challenges related to Ignite production monitoring goes on and on. And you’ll get many of those questions covered.

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Virtual Meetup

Apache Ignite Lightning Talks and Q&A Session

Virtual Apache Ignite® Meetup
October 20, 2020

On October 20, join a special community session and ask experts about Ignite features, configuration, and architecture. We will start with three 10-minute tech talks by Ignite developers: Apache Ignite System Views — Show what was hidden — Nikolay Izhikov, Apache Ignite PMC Communication via Discovery — Ivan Bessonov, Apache Ignite Contributor working with Ignite Core TBD — Ravil Galeyev, Apache Ignite ML module Contributor Then, you will have an hour to ask our pool of experts your Ignite questions.

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Webinar

Apache Ignite Workshop: Cluster Memory Management Techniques

Webinar, Denis Magda
October 14

In this webinar, Denis Magda will introduce several architectural techniques that can help you keep your cluster operational and your applications running even if memory becomes a scarce resource. During the webinar demo you will learn how to use those techniques in practice.

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Virtual Meetup

In-Memory Computing Essentials for Java Developers and Architects with VJUG

Virtual Java User Group, Denis Magda
October 8, 2020

This session is for software engineers and architects who build data-intensive applications and want practical experience with in-memory computing. You will be introduced to the fundamental capabilities of distributed, in-memory systems and will learn how to tap into your cluster’s resources.

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Virtual Meetup

In-Memory Computing Essentials for Java Developers and Architects with LJC

London Java Community Meetup, Denis Magda
October 7, 2020

This session is for software engineers and architects who build data-intensive applications and want practical experience with in-memory computing. You will be introduced to the fundamental capabilities of distributed, in-memory systems and will learn how to tap into your cluster’s resources.

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Conference

In-Memory Computing Essentials for Software Engineers

JConf.dev, Denis Magda
September 30, 2020

Distributed, in-memory computing technologies such as caches, data grids, and databases boost application performance and solve scalability problems by storing and processing large datasets across a cluster of interconnected machines. This session is for software engineers and architects who build data-intensive applications and want practical experience with in-memory computing. You will be introduced to the fundamental capabilities of distributed, in-memory systems and will learn how to tap into your cluster’s resources and how to negate any negative impact that the network might have on the performance of your applications.

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Conference

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Conference

In-Memory Computing Essentials For Software Engineers

ApacheCon @home, Denis Magda
September 29, 2020

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that are proven to boost application performance and solve scalability problems by storing and processing unlimited data sets distributed across a cluster of interconnected machines. The session is tailored for software engineers and architects seeking practical experience with in-memory computing technologies.

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Conference

Apache Ignite: Continuous Machine and Deep Learning at Scale

Developer Week Seattle: Cloud Edition, Ken Cottrell
September 28, 2020

Learn how Apache Ignite in-memory computing platform addresses these ML limitations with distributed model training and execution, to provide near-real-time, continuous learning capabilities. This discussion will explain how distributed ML/DL works with Apache Ignite, and how to get started.

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Conference

Heads in the Cloud: Cloud Deployment Best Practices for in Memory Computing

Developer Week Seattle: Cloud Edition, Greg Stachnik
September 28, 2020

During this session, we will introduce the Apache Ignite in-memory computing platform and identify key metrics that can help you maximize application performance on your existing cloud infrastructure. We will provide best practices on how best to structure and deploy in-memory applications on both public and hybrid clouds.

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Virtual Meetup

Apache Ignite 3.0: Major Changes and Features in Russian

Virtual Meetup, Valentin Kulichenko
September 17, 2020

Apache Ignite 3.0 is coming! What will it be? September 15 Val Kulichenko, a community old-timer and the Ignite 3.0 release manager, will open the discussion by covering major changes that are proposed for release 3.0. The gathering will be in Russian.

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Webinar

Going Cloud-Native: Serverless Applications With Apache Ignite

Webinar, Denis Magda
September 16, 2020

Serverless computing allows you to design and build scalable cloud-native applications without thinking about infrastructure provisioning and orchestration. With Apache Ignite, you can bootstrap an in-memory cluster in the cloud and access data 100-1000x faster than with disk-based databases.

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Virtual Meetup

Apache Ignite 3.0: Major Changes and Features

Virtual Meetup, Valentin Kulichenko
September 15, 2020

Apache Ignite 3.0 is coming! What will it be? September 15 Val Kulichenko, a community old-timer and the Ignite 3.0 release manager, will open the discussion by covering major changes that are proposed for release 3.0.

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Webinar

Networking & Communication in Apache Ignite

Webinar, Stanislav Lukyanov
September 9, 2020

Networking is a core pillar of any distributed system and is responsible for cluster-node discovery procedures, peer-to-peer communication between nodes, and failure handling. Network architecture can greatly influence operational performance and efficiency.

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Virtual Meetup

When You Don't Need Apache Ignite: 3 cases when you'd better not use platform

Virtual Apache Ignite Meetup, Dmitry Pavlov
September 8, 2020

For some cases, Apache Ignite is the perfect application. However, also, for some cases, Apache Ignite can be a disappointment. In this talk, Dmitry Pavlov discusses some popular and less-than popular use cases. The presentation focuses on the needs of developers and architects who face application-performance problems.

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Webinar

Getting Started with Apache Ignite: Digital Integration Hub

Webinar, Glenn Wiebe
September 2, 2020

Apache Ignite and GridGain can be used as a simple cache, an in-memory data grid (IMDG), and as an in-memory database (IMDB). These data management patterns can be combined with Ignite integration facilities to function as a Digital Integration Hub (DIH) for real-time data access across data sources and applications.

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Webinar

Using Distributed Tracing to Resolve Performance Issues in Apache Ignite

Webinar, Greg Stachnick
August 26, 2020

Debugging distributed-system applications can be more complex than debugging traditional monolithic applications. As API calls jump across nodes in the cluster, it can be tricky to follow the execution just by analyzing application logs. Tracing adds a useful tool to the root-cause-analysis toolbox.

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Virtual Meetup

Apache Ignite ML 2.8: A Complete Feature Overview

Apache Ignite Saint Petersburg Meetup, Alexey Zinoviev
August 20, 2020

The talk will be presented in Russian. In this 50-minute presentation, the module maintainer Alexey Zinoviev will give a complete overview of the ML functionality. He will tell what can already be done with Apache Ignite ML and what cannot be done yet.

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Virtual Meetup

Building a Blockchain Network with Perper, a Serverless Computation Framework for Apache Ignite

Apache Ignite Virtual Meetup, Branimir Angelov
August 11, 2020

Apache Ignite offers powerful, in-memory, distributed-computing capabilities. These capabilities can provide the foundation for building various programming models. In this talk, we focus on reactive programming and how to use Apache Ignite to build a serverless computation framework that is based on reactive streams (Perper). We discuss Apache Ignite topics such as services, data locality, continuous queries, and platform interoperability.

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Webinar

Apache Ignite 101: Key Deployment Strategies for Database Acceleration

Webinar, Valentin Kulichenko
August 5, 2020

The Ignite in-memory computing platform can power real-time applications that need to process terabytes of data with in-memory speed. Join us for this webinar to learn about the various Ignite deployment options for database acceleration

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Virtual Meetup

Apache Ignite Best Practices for Native Persistence and Data Recovery

Apache Ignite Virtual Meetup, Ivan Rakov
July 28, 2020

When persistence is enabled, the memory becomes a cache for the most frequently used data and indexes. Native persistence is ACID-compliant, durable, and enables immediate availability on a restart of each node. Data is never lost; GridGain supports full and incremental snapshots along with continuous archiving and provides Point-in-Time recovery to an individual transaction.

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Webinar

Building a Blockchain Network with Perper, a Serverless Computation Framework for Apache Ignite.

Webinar, Branimir Angelov
July 22, 2020

Apache Ignite offers powerful, in-memory, distributed-computing capabilities. These capabilities can provide the foundation for building various programming models. In this talk, we focus on reactive programming and how to use Apache Ignite to build a serverless computation framework that is based on reactive streams (Perper). We discuss Apache Ignite topics such as services, data locality, continuous queries, and platform interoperability.

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Virtual Meetup

When you DO NOT need Apache Ignite

Java Community Meetup Saint Petersburg, Dmitry Pavlov
July 16, 2020

Apache Ignite PMC Chair Dmitry Pavlov will talk about cases when Apache Ignite® should be replaced with other products, as well as about cases when the technology is worth using. We will discuss both the main cases - in-memory data grid & database, and the more rare ones - storing large files, organizing asynchronous interaction through message queues, and full-text search.

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Virtual Meetup

How to boost and scale Postgres

Chicago PostgreSQL Meetup Group, Valentin Kulichenko
July 15, 2020

Due to this, many industry players tend to predict Postgres' extinction. Nevertheless, most businesses have Postgres deployments for decades and continue doing so regardless of the advancement in big data, mobile, IoT, and all other revolutions that contribute to data generation.

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Webinar

Architect’s Guide for Continuous Machine Learning Platforms With Apache Ignite 2.8

Webinar, Ken Cottrell
July 15, 2020

Many machine learning (ML) and deep learning (DL) platforms are slow in production environments. It can sometimes take hours or days to update ML models. This is a result of having the ML processing run on a different system from the operational transactions system in order to avoid performance degradation.

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Webinar

Getting Started With Apache Ignite as an In-Memory Database (IMDB)

Webinar, Glenn Wiebe
July 8, 2020

In this webinar, Glenn Wiebe, GridGain Solution Architect, will introduce developers to Apache Ignite as an in-memory database (IMDB). He will review how an IMDB differs from a cache or an in-memory data grid (IMDG). He will discuss the key characteristics of an IMDB and also highlight core Ignite features and facilities.

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Webinar

Learn Apache Ignite Through Coding Examples

Webinar, Denis Magda
June 24, 2020

Join Denis Magda, Apache Ignite veteran and GridGain Head of Developer Relations, as he demonstrates various Apache Ignite capabilities you might have heard of or read about. Topics covered will include clustering, compute and SQL capabilities, data loading and streaming.

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Virtual Meetup

Architecting Low-Latency Java Systems at Massive Scale

Java Talk & Java Meetup Sydney, Simon Ritter & Denis Magda
June 17, 2020

Due to the nature of garbage collectors, Java can initiate a stop-the-world pause at any moment in time breaking low-latency requirements and making the behavior of the whole system unpredictable. That's, primarily, why Java is not seen as a viable option for such workloads by many. In this session, we're going to review a Java-powered software stack based on Azul Zing and Apache Ignite that makes JVM behavior predictable scales out linearly and allows selecting Java for high-throughput low-latency scenarios.

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Webinar

Simplifying GridGain and Apache Ignite Management with the GridGain Control Center

Webinar, Greg Stachnick
June 17, 2020

Managing distributed systems can be complex and time consuming because there are numerous moving parts. Having a consistent set of tools can give a clear picture of how clusters are performing, when to take action and avoid potential problems, and how to optimize configurations.

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Virtual Meetup

The Role and Specifics of Networking in Distributed Systems. Dissecting Apache Ignite

Bay Area In-Memory Computing Meetup, Stanislav Lukyanov
June 11, 2020

This talk introduces you to the architecture and role of the distributed system’s networking layer. With Apache Ignite as an example, you gain practical insights and learn how to apply what you’ve learned to your distributed solutions, thus maximizing the performance and reliability of your applications.

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Webinar

Learn Apache Ignite Through Coding Examples

Webinar, Denis Magda
June 24, 2020

Join Denis Magda, Apache Ignite veteran and GridGain Head of Developer Relations, as he demonstrates various Apache Ignite capabilities you might have heard of or read about. Topics covered will include clustering, compute and SQL capabilities, data loading and streaming.

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Webinar

Moving Apache Ignite into Production: Best Practices for Distributed Transactions

Webinar, Ivan Rakov
June 10, 2020

The Apache Ignite transactional engine can execute distributed ACID transactions which span multiple nodes, data partitions, and caches/tables. This key-value API differs slightly from traditional SQL-based transactions but its reliability and flexibility lets you achieve an optimal balance between consistency and performance at scale by following several guidelines.

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Webinar

How Apache Ignite Powers Real-Time Subscriber Offers for a Leading Telecommunications Company

Webinar, Alexey Bednov & Fedor Loginov
June 3, 2020

The telecommunications company deployed a recommendation engine that provides over 7,000,000 relevant marketing offers every day to their subscribers. The engine includes functionality for control/target group segmentation, subscriber contact policies, and contact history mechanics. By the end of this webinar, you will understand the deployed architecture, how Ignite machine learning helps power the engine and the new capabilities this campaigning engine provides the telecommunications company as part of their digital transformation.

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Virtual Meetup

Architecting Low-Latency Java Systems at Massive Scale

Simon Ritter and Denis Magda
May 27, 2020

Join NYJavaSIG on May 27 to see a presentation by Azule and GridGain.
Due to the nature of garbage collectors, Java can initiate a stop-the-world pause at any moment in time breaking low-latency requirements and making the behavior of the whole system unpredictable. That's, primarily, why Java is not seen as a viable option for such workloads by many. In this session, we're going to review a Java-powered software stack based on Azul Zing and Apache Ignite that makes JVM behavior predictable scales out linearly and allows selecting Java for high-throughput low-latency scenarios.

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Webinar

Getting Started with Apache Ignite and SQL

Webinar, Denis Magda & Igor Seliverstov
May 20, 2020

Apache Ignite’s ANSI-99 SQL support provides application developers a classical SQL database experience while enabling in-memory speeds at petabyte scale for a variety of workloads. Concise SQL syntax and availability of JDBC and ODBC drivers shields the complexity of Ignite’s distributed architecture from developers and allows them to easily manage and query distributed datasets. Nevertheless, there are some essentials and design patterns that developers should consider when deploying Apache Ignite.

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Virtual Meetup

Adding Speed and Scale to MySQL Deployments With In-Memory Computing

Denis Magda
May 14, 2020

Learn how software architects use in-memory computing technologies to add speed and scale to existing MySQL deployments. You will see how to deploy a distributed in-memory cluster on top of a MySQL database, how to configure the cluster to write-through all the changes to the database, and how to boost SQL operations by querying in-memory data sets.

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Webinar

Using Data Center Replication to Ensure High Availability of Apache Ignite and GridGain Clusters

Webinar, Konstantin Orlov
May 13, 2020

When working with multiple data centers, it is important to ensure high availability of your GridGain cluster. The GridGain Enterprise and Ultimate Editions, built on Apache Ignite®, include a Data Center Replication feature that allows data transfer between caches in distinct topologies, even located in different geographic locations.

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Virtual Meetup

Conquer Application Performance Challenges with In-Memory Computing

Valentin Kulichenko
May 6, 2020

Distributed platforms, like Apache Ignite®, rely on horizontal scalability. More machines in the cluster lead to application performance improvements. But the speed of the application performance after adding a second machine to the cluster? In this talk, attendees will learn about the challenges architects face when designing distributed systems.

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Webinar

Architects Guide for Apache Ignite ACID Transactions and Consistency

Webinar, Ivan Rakov
April 29, 2020

Apache Ignite can function in a strong consistency mode which keeps application records in sync across all primary and backup replicas. It also supports distributed ACID transactions that allow you to update multiple entries stored on different cluster nodes and in various caches/tables.

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Virtual Meetup

In-Memory Computing Essentials for Software Engineers with Denver & Boulder JUG

Denis Magda
April 8, 2020

The session is tailored for software engineers and architects seeking practical experience with in-memory computing technologies. You'll be given an overview (including code samples in Java) of in-memory concepts such as caches, databases, and data grids combined with a technical deep-dive based on Apache Ignite in-memory computing platform.

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Webinar

Learn How Apache Ignite 2.8 Offers Improved Production Maintenance and Machine Learning

Webinar, Denis Magda
April 8, 2020

Apache Ignite 2.8 includes over 1,900 upgrades and fixes that enhance almost all components of the platform. The release notes include hundreds of line items cataloging the improvements. In this webinar, Ignite community members demonstrate and dissect new capabilities related to production maintenance, monitoring, and machine learning.

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Online Meetup

Virtual Meetup: Scale Out and Conquer or Mysteries of In-Memory Systems

Valentin Kulichenko, Lead Architect at GridGain Systems
April 1, 2020

The health and well being of our community is our highest priority. Due to the existing environment, we are moving all our meet up events online for the foreseeable future, until things get back to normalcy.

Webinar

Webinar

Using Apache Ignite for Continuous Machine and Deep Learning at Scale

Webinar, Speaker: Ken Cottrell
March 11, 2020

In this webinar you will learn how the Apache Ignite® in-memory computing platform addresses these machine learning limitations with distributed model training and execution to provide real-time, continuous learning capabilities.

Webinar

Webinar

Security Guide for Apache Ignite and GridGain with Configuration Examples

Webinar, Speaker: Andrey Alexandrov
March 4, 2020

Using live examples, we will go through the configurations for: SSL/TLS to create a secure connection among all nodes, thin clients, and REST, Ignite advance security module.

Webinar

Webinar

How-to for Apache Ignite Deployments in Kubernetes

Webinar, Speaker: Valentin Kulichenko
February 26, 2020

In this webinar, Val Kulichenko, Apache Ignite Project Management Committee member, will provide steps on how to deploy Ignite in Kubernetes. He will provide best practices and identify common issues and how to deal with them with minimum limitations.

Conference

Conference

How to boost and scale Postgres - from sharding to in-memory data grids

Bengaluru, PGConf India, Speaker: Denis Mekhanikov
February 26, 2020

Whether you want to scale to petabytes or tap into RAM, there is a solution for Postgres. Let's review these practical solutions, including built-in caching, sharding, and in-memory data grids like Apache Ignite.

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Meetups

Google Big Table Deep Dive and Spark SQL Acceleration with Apache Ignite

Chicago Bay Area In-Memory Computing Meetup
February 20, 2020

Deep-dive talks on Google Big Data and Apache Ignite for Spark SQL engine optimizations.

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Meetups

Google Big Table Deep Dive and Spark SQL Acceleration with Apache Ignite

Chicago Bay Area In-Memory Computing Meetup
February 20, 2020

Deep-dive talks on Google Big Data and Apache Ignite for Spark SQL engine optimizations.

Meetup

Meetup

Apache Ignite Meetup Moscow #8

Speakers: Maxim Muzafarov, Alexey Bednov, Fedor Loginov, Ruslan Kamashev
February 20, 2020

Join Igniters from Moscow to learn, what changes in release 2.8 are super important if you are going to store data in Apache Ignite. Also, developers from Teradata and Tinkoff bank will share their experience of implementing Apache Ignite in their solutions.

Meetup

Meetup

In-Memory Computing Essentials for Java Developers

Boston JUG Meetup Group, Speaker: Denis Magda
February 18, 2020

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that are proven to boost applications performance and solve scalability problems by storing and processing massive data sets in RAM and on disk.

Conferences

Conference

In-Memory Computing Essentials for Software Engineers

San Francisco, DeveloperWeek 2020, Speaker: Denis Magda
February 13, 2020

The session is tailored for Java experts who thirst for practical experience with in-memory computing technologies. You’ll be given an overview of in-memory concepts such as caches, databases, and data grids combined with a technical deep-dive.

Conferences

Webinar

Best Practices for Loading Real-time Data into Distributed Systems Using Change Data Capture

Webinar, Speaker: Alexey Goncharuk
February 12, 2020

This webinar is for developers and architects interested in learning how to use the Apache Ignite in-memory computing platform to achieve incremental batch or real-time updates of large data sets. We will cover the fundamental principles and restrictions of CDC and review examples of how to change data capture is implemented in real-life use cases.

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Meetups

In-Memory Computing Essentials for Java Developers

Chicago SQL Meetup Group, Speaker: Denis Magda
February 5, 2020

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that are proven to boost applications performance and solve scalability problems by storing and processing massive data sets in RAM and on disk.

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Meetups

In-Memory Computing Essentials for Java Developers

Chicago Java User Group, Speaker: Denis Magda
January 16, 2020

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that are proven to boost applications performance and solve scalability problems by storing and processing massive data sets in RAM and on disk.

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Meetups

Enabling Java for low-latency use cases at unlimited scale

Bay Area In-Memory Computing Group, Speaker: Gil Tene, Denis Magda
January 23rd, 2020

This time we are gathering together with Silicon Valley Java Performance meetup group to discuss how in-memory computing combined with a pauseless Java Virtual Machine results in a Java-powered solution that enables consistent low millisecond response times at unlimited scale.

Webinar

Webinar

Distributed Computing with Apache Ignite

Webinar, Speaker: Denis Mekhanikov
January 29, 2020

In this webinar, you’ll see how to design and execute distributed computations considering all the pros and cons.

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Meetups

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Meetups

In-Memory Computing Essentials for Software Engineers

The Silicon Valley Java User Group, Speaker: Denis Magda
DECEMBER 18, 2019

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that are proven to boost application performance and solve scalability problems by storing and processing massive data sets in RAM and on disk.

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Meetups

How and why Apache Ignite® is changing from an In-Memory Data Grid into an In-Memory Database

Open Source Database Best Practices, Speaker: Alexey Goncharuk
DECEMBER 16, 2019

Our upcoming event “Open Source Database Best Practices” focuses on the latest developments in open source database technology. You will hear about ProxySQL, ClickHouse and Apache Ignite from speakers who are actively engaged in creating these technologies. The speakers work for ProxySQL, Altinity, and GridGain Systems and are all active committers to their respective projects.

Where to Find Us
Webinar

Webinar

How to Migrate Your Data Schema to Apache Ignite

Webinar, Speaker: Ivan Rakov
DECEMBER 4, 2019

In this webinar, we will discuss the pros and cons of SQL and JCache APIs approaches to work with your data in Apache Ignite. Talk includes Ignite SQL capabilities, consistency guarantees, complications of distributed SQL and how affinity co-location can minimize them.

Meetup

Meetup

Apache Ignite Moscow Meetup

Moscow, Russia, Speakers: Andrey Gura, Denis Garus
DECEMBER 3, 2019

Andrei Gora, Apache Ignite PMC, will talk about typical problems that arise when moving to a distributed model of data storage and processing, namely, the organization of consistent data placement in a distributed system. Denis Garus (Sbertech) will present Ignite Sandbox and tell about data protection in a distributed Java environment. After the talks, we plan to discuss what does community expect from Ignite 3.

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Meetups

Ignite Pearls - Insight and Creativity in Distributed Programming

NY Scala Group, Speaker - Nikita Ivanov
November 21, 2019

This presentation is a live Scala coding talk full of small case studies, real examples, and interesting exercises for learning about how to do a modern distributed programming with Apache Ignite.

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Meetups

Apache Ignite Pumpkin Meetup

Apache Ignite Meetup, Saint Petersburg, Russia, Speaker: Evgeny Zhuravlev
October 31, 2019

We are going to have a cozy Halloween talk about “how to use” (first speaker) and “how does it work” (second speaker). As usual, there will be tea and coffee, a snack and a raffle of useful books. Evgeny Zhuravlev will present talk “Architecture and optimization of working with memory for processing big data”. Apache Ignite Committer Maxim Muzafarov will tell about his experience of working with Rebalance feature.

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Meetups

In-Memory Computing Essentials for Software Engineers

SQL NYC, The NoSQL & NewSQL Database Big Data Meetup Speaker: Denis Magda
October 29, 2019

Free books+swag, caviar, liquors, cheeses & other eclectic delicacies! Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that are proven to boost application performance and solve scalability problems by storing and processing massive data sets in RAM and on disk.

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Meetups

Ensembles of ML algorithms and Distributed Online Machine Learning with Apache Ignite

ApacheCon Europe 2019, Speaker - Alexey Zinovyev
October 23, 2019

Alexey Zinovyev, Apache® Ignite® Committer, will tell about Apache Ignite ML module and how can it speedup your ML training. Also He will speak about using Ignite as a backend for distributed TensorFlow calculations.

Webinars

Webinars

Updated Apache Ignite Apache® Ignite® Web Console live demo

Webinar, Speaker - Greg Stachnick
October 16, 2019

GridGain Web Console is now 100% free for Apache® Ignite™ and GridGain® users. During the session we will cover the basics of installation and discuss new features and capabilities added to the most recent release as well as architectural changes.

Meetup

Meetup

Why did we developed another one Kafka connector

Autumn Kafka at Leroy Merlin, Moscow (Russia), Speaker - Alexey Kukushkin
October 9, 2019

In his talk Alexey will tell, when the connectors are more convenient than developing from scratch, briefly will go through the existing connectors. After that Alexey will tell how he wrote his version based on Apache Ignite and certified by Confluent.

Meetup

Meetup

Data Distribution in Apache Ignite

Scalability Meetup, Moscow (Russia), Speaker - Andrey Gura
October 3, 2019

Andrei Gora, committer and PMC of the Apache Ignite project, will talk about typical problems that arise when moving to a distributed model of data storage and processing, namely, the organization of a consistent data placement in a distributed system. Special attention will be paid to the rendezvous hashing algorithm, the features of its use in Apache Ignite (Rendezvous affinity function) and possible alternatives.

Meetup

Meetup

Moving Apache® Ignite® into Production: Best Practices For Disaster Recovery and High Availability

Webinar, Speaker - Stanislav Lukyanov
September 18, 2019

Learn some of the best practices and the different options for maximizing availability and preventing data loss. This session explains in detail the various challenges including cluster and data center failures, and the best practices for implementing disaster recovery (DR) for distributed in-memory computing based on real-world deployments.

Conference

Conference

Continuous Machine and Deep Learning at Scale with Apache Ignite

ApacheCon North America 2019, Speaker, Speaker - Denis Magda
September 18, 2019

During this session Denis, Apache Ignite PMC chair, will tell, how Apache Ignite and GridGain help to address these limitations with model training and execution, and help achieve near-real-time, continuous learning. It will be explained how ML/DL work with Apache Ignite, and how to get started.

Webinars

Webinars

Moving Apache® Ignite® into Production: Best Practices for Deploying Apache Ignite in the Cloud

Webinar, Speaker - Greg Stachnick
August 28, 2019

This webinar discusses deploying Apache Ignite into production in public and private clouds. Companies have faced many challenges when deploying in-memory computing platforms such as Apache Ignite in the cloud, but they have also discovered many best practices that have made success possible.

Meetup

Meetup

Cloud deployment best practices

Meetup, Speaker - Greg Stachnick
August 22, 2019

Cloud deployments offer the potential for almost infinite resources and flexible scalability. But there are so many options! It can be overwhelming to know which services are best for your use case. Building distributed systems only adds to the complexity. Come learn some best practices on how to best structure and deploy IMDB/IMDG applications in a cloud environment.

Meetup

Meetup

The Insiders Checklist for Hardening an In-Memory Computing Cluster

Meetup, Speaker - Denis Magda
August 20, 2019

In this talk Denis Magda, GridGain's VP of product management and Apache® Ignite™ PMC Chair, will walk through the various components of Apache Ignite and GridGain -- including memory storage, networking layer, compute grid -- to help explain many of best practices and the reasoning behind them.

Meetup

Meetup

HTAP via integration of Apache Ignite and Apache Spark

Meetup, Speaker - Roman Shtykh
June 28, 2019

In this talk Roman will explain advantages of compute and storage disaggregation in general, and using Apache Ignite as a storage engine for Apache Spark in particular to handle HTAP workloads.

Webinars

Webinar

Moving Apache Ignite into Production: An Initial Checklist

Webinar, Speaker - Denis Magda
May 29, 2019

Guaranteeing that your in-memory computing solution stays up and running is the most important goal for a rolling out a new production environment. The trick is making sure that you have all the bases covered and have thought through all your requirements, needs, and potential roadblocks. In this webinar, Apache® Ignite™ PMC Chair Denis Magda shares a checklist to consider for your Apache Ignite production deployments.

This webinar is the first in a series that will guide you through the best development, monitoring, and troubleshooting practices for deploying Apache Ignite across different topologies and use cases.

Conferences

Conference

Distributed ML/DL with Ignite ML Module Using Apache Spark as Database

Spark + AI Summit 2019, Speaker - Alexey Zinovyev
April 25, 2019

The current implementation of ML algorithms in Spark has several disadvantages associated with the transition from standard Spark SQL types to ML-specific types, a low level of algorithms' adaptation to distributed computing, a relatively slow speed of adding new algorithms to the current library. Apache Ignite could work closely with Apache Spark due to exellent Ignite RDD/Ignite DataFrame implementation (see https://ignite.apache.org/use-cases/spark/shared-memory-layer.html). Also Apache Ignite has Ignite ML module that includes a lot of distributed ML algorithms, NLP package (will be available in next release, 2.8), the bunch of approximate ML algorithms, simple integration with TensorFlow via TensorFlow Ignite Dataset (currently, this is a part of TF.contrib package) and also each algorithm supports the model updating that gives us ability to make online-learning not only for KMeans and LinReg.

Webinars

Webinar

Apache Ignite for Node.js Developers

Webinar, Speaker - Denis Magda
March 20, 2019

The benefits of Ignite are now available to Node.js developers with the addition of the Node.js Thin Client for Ignite. In this webinar, using examples, Denis will cover the specifics of how to use Node.js with Ignite, including:

  • Instantiating an Ignite Client
  • Creating an Ignite Client Configuration
  • Connecting a Client to an Ignite Cluster Node
  • Obtaining an Ignite Storage Instance
  • Configuring an Ignite Storage Instance
  • Performing Key-Value Queries
  • Performing SQL, SQL Fields and Scan Queries
Meetup

Meetup

Using TensorFlow with Apache Ignite

Open Data Science Meetup Saint Petersburg (Russia), Speaker - Yury Babak
March 15, 2019

Yuri Babak will explain how to use TensorFlow with Apache Ignite. Topics covered in this presentation:

  • Apache Ignite as a distributed data source for TensorFlow
  • Distributed training of the model on the TensorFlow cluster over Apache Ignite
  • Inference TensorFlow models on Apache Ignite cluster
Webinars

Webinar

What’s New in Apache Ignite 2.7

Webinar, Speaker - Denis Magda
Feb 13, 2019

Learn what's new with Apache Ignite 2.7. This session, given by Denis Magda, Apache Ignite PMC Chair, is for all Apache Ignite users. You will learn how the new capabilities of Apache Ignite work. You will also understand more about some of the other changes made to Apache Ignite, and the reasoning behind them. Come with your questions, and learn from the questions of your peers.

Meetup

Meetup

Turbocharge your MySQL queries in-memory with In-Memory Computing

MySQL New York Meetup, Speaker - Akmal Chaudhri
Feb 5, 2019

Learn how to boost performance 1000x and scale to over 1 billion transactions per second with in-memory storage of hundreds of TBs of data for your MySQL-based applications. Attendees will learn how Apache Ignite handles auto-loading of a MySQL schema and data from PostgreSQL, supports MySQL indexes, supports compound indexes, and various forms of MySQL queries including distributed MySQL joins.

Webinars

Webinar

GridGain Cloud: Deploy Apache Ignite in Minutes

Webinar, Speaker - Akmal Chaudhri
January 30, 2019

If you're interested in in-memory computing and are trying Apache Ignite or are interested in-memory computing as a Service, this session about GridGain Cloud is for you. Learn how to deploy Ignite as a service with just a few clicks, and how to use Ignite as a distributed cache or in-memory database (IMDB) as a service.

Webinars

Webinar

In-Memory Computing Best Practices: Developing New Apps, Channels and APIs

Webinar, Speaker - Rob Meyer
January 24, 2019

Digital transformation is arguably the most important initiative in IT today, in large part because of its ability to improve the customer experience and business operations, and to make a business more agile. But delivering a responsive digital business is not possible at scale without in-memory computing. This session, the third in the In-Memory Computing Best Practices Series, dives into how in-memory computing acts as a foundation for digital business.

Meetup

Meetup

Workshop: Machine Learning 101 with In-Memory Computing

Stanford Data Science Machine Learning Meetup, Speaker - Denis Magda
January 15, 2019

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by storing and processing massive amounts of data in memory and on disk across a cluster of machines. By the end of the workshop the attendees will learn how to:

  • Deploy a distributed Apache Ignite cluster.
  • Preload data into the cluster deciding how much RAM is to be available for storage needs.
  • Create custom calculations and algorithms and utilize cluster’s resources for their execution.
  • Solve optimizations problems by simulating the process of biological evolution.
  • Apply machine learning algorithms supported by Apache Ignite.
Meetup

Meetup

Workshop: In-Memory Computing Essentials for Data Scientists

BOSTON #ODSC, Speaker - Akmal Chaudhri
January 15, 2019

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by storing and processing massive amounts of data in memory and on disk across a cluster of machines. By the end of the workshop the attendees will learn how to:

  • Deploy a distributed Apache Ignite cluster.
  • Preload data into the cluster deciding how much RAM is to be available for storage needs.
  • Create custom calculations and algorithms and utilize cluster’s resources for their execution.
  • Solve optimizations problems by simulating the process of biological evolution.
  • Apply machine learning algorithms supported by Apache Ignite.
Meetup

Meetup

Relational DBMSs: Faster Transactions and Analytics with In-Memory Computing

NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri
January 14, 2019

Combining Apache Ignite with a Relational DBMS can offer enterprises the best of both open-source worlds: a highly-scalable high-velocity grid-based in-memory SQL database, with a robust fully-featured SQL persistent datastore for advanced analytics and data-warehouse capabilities.

Topics to be covered:

  • How to complement a Relational DBMS for Hybrid Transactional/Analytical Processing (HTAP) by leveraging the massive parallel processing and SQL capabilities of Apache Ignite.
  • How to use Apache Ignite as an In-Memory Data Grid that stores data in memory and boosts applications performance by offloading reads from a Relational DBMS.
  • The strategic benefits of using Apache Ignite instead of Memcache, Redis, GigaSpaces, or Oracle Coherence.
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Meetups

Distributed Database DevOps Dilemmas? Kubernetes to the rescue!

Amsterdam Kubernetes/Cloud-Native Meetup, Speaker - Akmal Chaudhri
December 6, 2018

Distributed databases can make so many things easier for a developer, but not always for DevOps. Kubernetes has come to the rescue with an easy application orchestration! It is straightforward to do the orchestration leaning on relational databases as a data layer. However, it is more difficult to do the same when a distributed SQL database or other kind of distributed storage is used instead. In this presentation, attendees will learn how Kubernetes can orchestrate a distributed database like Apache Ignite, in particular:

  • Cluster Assembling - database nodes auto-discovery in Kubernetes
  • Database Resilience - automated horizontal scalability
  • Database Availability - what’s the role of Kubernetes and the database
  • Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with the durability of disk
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Meetups

Distributed Database DevOps Dilemmas? Kubernetes to the rescue!

Hamburg Kubernetes/Cloud-Native Meetup, Speaker - Akmal Chaudhri
December 5, 2018

Distributed databases can make so many things easier for a developer, but not always for DevOps. Kubernetes has come to the rescue with an easy application orchestration! It is straightforward to do the orchestration leaning on relational databases as a data layer. However, it is more difficult to do the same when a distributed SQL database or other kind of distributed storage is used instead. In this presentation, attendees will learn how Kubernetes can orchestrate a distributed database like Apache Ignite, in particular:

  • Cluster Assembling - database nodes auto-discovery in Kubernetes
  • Database Resilience - automated horizontal scalability
  • Database Availability - what’s the role of Kubernetes and the database
  • Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with the durability of disk
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Meetups

Distributed Database DevOps Dilemmas? Kubernetes to the rescue!

München Kubernetes/Cloud-Native Meetup, Speaker - Akmal Chaudhri
December 4, 2018

Distributed databases can make so many things easier for a developer, but not always for DevOps. Kubernetes has come to the rescue with an easy application orchestration! It is straightforward to do the orchestration leaning on relational databases as a data layer. However, it is more difficult to do the same when a distributed SQL database or other kind of distributed storage is used instead. In this presentation, attendees will learn how Kubernetes can orchestrate a distributed database like Apache Ignite, in particular:

  • Cluster Assembling - database nodes auto-discovery in Kubernetes
  • Database Resilience - automated horizontal scalability
  • Database Availability - what’s the role of Kubernetes and the database
  • Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with the durability of disk
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Meetups

Memory-Centric Architecture - A New Approach to Distributed Systems

NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri
November 29, 2018

In this presentation, attendees will learn how to achieve the best performance and scale with the new memory-centric approach to distributed architectures. The presentation will review traditional in-memory and disk-based systems, compare their strengths and weaknesses, cover features such as ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance and more. Additionally, the presentation will cover some of the most common use cases for distributed computing and analyze some large Apache Ignite and GridGain deployments. Finally, attendees will learn how to build the most effective and scalable systems by borrowing the best of two worlds - disk-first and memory-first approaches.

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Meetups

Stream Processing Best Practices - In the Cloud and with Apache Ignite

Apache Kafka Atlanta, Speaker - Akmal Chaudhri
November 28, 2018

Learn some of the best practices companies have used for making Apache Kafka and Apache Ignite scale. Making stream processing scale requires making all the components --including messaging, processing, storage -- scale together. During this talk, Akmal will explain:

  • The integration between Apache Ignite and Kafka
  • Examples of how Ignite and Kafka are used together
  • Recommended approaches for deployment, monitoring and management
  • Tips and tricks for performance and scalability tuning
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Meetups

Best Practices for Stream Processing with Kafka and Apache Ignite

Apache Kafka DC, Speaker - Akmal Chaudhri
November 27, 2018

Learn some of the best practices companies have used for making Apache Kafka and Apache Ignite scale. Making stream processing scale requires making all the components --including messaging, processing, storage -- scale together. During this talk, Akmal will explain:

  • The integration between Apache Ignite and Kafka
  • Examples of how Ignite and Kafka are used together
  • Recommended approaches for deployment, monitoring and management
  • Tips and tricks for performance and scalability tuning
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Meetups

Apache Ignite performance measurement. How we do benchmarks

Moscow Apache Ignite Meetup, Speakers - Ilya Suntsov, Dmitry Pavlov, Nikolay Kulagin, Nikolay Izhikov
November 14, 2018

We invite you to the next meeting of Apache Ignite Community in Moscow. Let's talk about benchmarks, what to do with unstable tests and how major open source features are created using the example of Transparent Data Encryption in Apache Ignite.

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Meetups

Best Practices for Stream Processing with Kafka and Apache Ignite

Bay Area Apache Kafka Meetup, Speaker - Denis Magda
November 7, 2018

Learn some of the best practices companies have used for making Apache Kafka and Apache Ignite scale. Making stream processing scale requires making all the components --including messaging, processing, storage -- scale together. During this talk, Denis will explain:

  • The integration between Apache Ignite and Kafka and the commercially supported versions, GridGain and Confluent
  • Examples of how Ignite and Kafka are used together
  • Recommended approaches for deployment, monitoring and management
  • Tips and tricks for performance and scalability tuning
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Meetups

In-Memory Computing Essentials for Data Scientist

Bay Area In-Memory Computing Meetup, Speaker - Lucas Beeler
November 1, 2018

Lucas will talk about the fundamental capabilities of in-memory computing platforms that specifically boost high-load applications and services. These cost-effective capabilities bring existing IT architecture to the next level by storing and processing massive quantities of data both in RAM and, optionally, on disk.

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Meetups

Distributed Database DevOps Dilemmas? Kubernetes to the rescue!

DevOps Exchange San Francisco, Speaker - Valentin Kulichenko
October 25, 2018

Distributed databases can make so many things easier for a developer, but not always for DevOps. Kubernetes has come to the rescue with an easy application orchestration! It is straightforward to do the orchestration leaning on relational databases as a data layer. However, it is more difficult to do the same when a distributed SQL database or other kinds of distributed storage is used instead. In this presentation, attendees will learn how Kubernetes can orchestrate a distributed database.

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Meetups

Powering up banks and financial institutions with distributed systems

NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri
October 25, 2018

In this talk, attendees will learn about the key capabilities and features of in-memory computing platforms that are important for financial applications -- including ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance, fraud detection and more.

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Meetups

Best practices for stream ingestion, processing and analytics using in-memory computing

Future of Data: New York, Speaker - Akmal Chaudhri
October 24, 2018

In this talk, Akmal Chaudhri will share the best practices used for real-time stream ingestion, processing and analytics using Apache Ignite, Apache Kafka, Apache Spark and other technologies. Akmal, will explain how to:

  • Optimize stream ingestion from Kafka and other popular messaging and streaming technologies
  • Architect pre-processing and analytics for performance and scalability
  • Implement and tune Apache Ignite or GridGain and Spark together
  • Design to ensure performance for real-time reports
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Meetups

Apache Ignite: The In-Memory Hammer In Your Data Science Toolkit

Metis: New York Data Science, Speaker - Akmal Chaudhri
October 23, 2018

In this presentation we will look at some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

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Meetups

Scale Out and Conquer: Architectural Decisions Behind Distributed In-Memory Systems

IT/Dev Connections, Dallas, Speaker - Denis Magda
October 18, 2018

In this session, attendees will learn about the compromises and pitfalls architects face when designing distributed systems. They will also learn the advantages and disadvantages of different data-sharding algorithms, effective data models for distributed environments, synchronization and coordination in distributed systems, and local scalability issues of speeding up local processing on cluster nodes.

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Meetups

Best Practices for Stream Ingestion, Processing and Analytics Using In-Memory Computing

Bay Area In-Memory Computing Meetup, Speaker - Valentin Kulichenko
September 26, 2018

Learn the best practices used for real-time stream ingestion, processing and analytics using Apache® Ignite®, GridGain®, Apache Kafka™, Apache Spark™ and other technologies. In this session Valentin will explain how to:

  • Optimize stream ingestion from Kafka and other popular messaging and streaming technologies
  • Architect pre-processing and analytics for performance and scalability
  • Implement and tune Apache Ignite or GridGain and Spark together
  • Design to ensure performance for real-time reports
Conferences

Conference

Apache Ignite: From In-Memory Data Grid to Memory-Centric Distributed Database

DB Tech Showcase, Tokyo, Speaker - Roman Shtykh
September 21, 2018

In this session Roman will explain how Apache Ignite evolved from in-memory data grid to memory-centric database, and you will learn about its peculiarities and strengths for fast data storing and processing.

Meetup

Meetup

How to become a Big Data Rockstar in 15 minutes!

Data Natives European Tour, Paris, Speaker - Akmal Chaudhri
September 17, 2018

The secret? Apache Ignite! Apache Ignite is a memory-centric distributed database, caching, and processing platform. It is designed for transactional, analytical, and streaming workloads, delivering in-memory performance at scale.
In this presentation attendees will learn about some of the key capabilities of Ignite, such as:

  • Turbocharging SQL queries when working with existing Relational database systems
  • Sharing data and state across multiple Spark jobs using RDDs and DataFrames
  • Using Ignite’s Machine Learning library for Data Science
  • Easing DevOps dilemmas by using Ignite with Kubernetes

Attendees will also learn how to download and install Ignite and start to be productive in under 5 minutes.

Meetup

Meetup

In-Memory Computing Essentials for Data Scientists

New York Data Science, Speaker - Denis Magda
September 12, 2018

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by storing and processing massive amounts of data in memory and on disk across a cluster of machines. By the end of the workshop the attendees will learn how to:

  • Deploy a distributed Apache Ignite cluster.
  • Preload data into the cluster deciding how much RAM is to be available for storage needs.
  • TCreate custom calculations and algorithms and utilize cluster’s resources for their execution.
  • Solve optimizations problems by simulating the process of biological evolution.
  • Apply machine learning algorithms supported by Apache Ignite.

This two-hour workshop is a must-attend event for all data scientists!

Meetup

Meetup

PostgreSQL with Apache Ignite: Faster Transactions and Analytics

New York City PostgreSQL User Group, Speaker - Akmal Chaudhri
August 30, 2018

Combining Apache Ignite with PostgreSQL can offer enterprises the best of both open-source worlds: a highly-scalable high-velocity grid-based in-memory SQL database, with a robust fully-featured SQL persistent datastore for advanced analytics and data-warehouse capabilities. Topics to be covered:

  • How to complement PostgreSQL for Hybrid Transactional/Analytical Processing (HTAP) by leveraging the massive parallel processing and SQL capabilities of Apache Ignite.
  • How to use Apache Ignite as an In-Memory Data Grid that stores data in memory and boosts applications performance by offloading reads from PostgreSQL.
  • The strategic benefits of using Apache Ignite instead of Memcache, Redis, GigaSpaces, or Oracle Coherence.
Meetup

Meetup

Machine and Deep Learning with an Apache Ignite

NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri
August 29, 2018

Apache Ignite Release 2.4 added built-in machine learning (ML) and deep learning (DL). It not only eliminates any delays caused by transferring data to a different database or store. It delivers near real-time performance by running a variety of ML and DL algorithms in place, in memory, that are optimized for collocated processing.

Learn more about these new capabilities and how to use them in Apache Ignite 2.4. In his talk, Akmal will provide:

  • An overview of the ML and DL algorithms and how they work
  • Examples of how to implement each ML and DL algorithm
  • Tips and tricks for getting the most performance out of ML and DL
Meetup

Meetup

Improving Apache Spark™ In-Memory Computing with Apache Ignite®

Big Bang Data Science - Georgia, Speaker - Akmal Chaudhri
August 28, 2018

Learn how Apache Ignite simplifies development and improves performance for Apache Spark. In his talk, Akmal Chaudhri will explain how Apache Spark and Ignite are integrated, and how they are used together for analytics, stream processing and machine learning.

By the end of this talk you will understand:

  • How Apache Ignite's native RDD and new native DataFrame APIs work
  • How to use Ignite as an in-memory database and massively parallel processing (MPP) style collocated processing for preparing and managing data for Spark
  • How to leverage Ignite to easily share state across Spark jobs using mutable RDDs and DataFrames
  • How to leverage Ignite distributed SQL and advanced indexing in memory to improve SQL performance
Meetup

Meetup

Speeding-up the IoT: Best practices for stream ingestion, processing and analytics using in-memory computing

Greater Atlanta Internet of Things, Speaker - Akmal Chaudhri
August 27, 2018

In this talk, Akmal Chaudhri will share the best practices used for real-time stream ingestion, processing and analytics using Apache Ignite, Apache Kafka, Apache Spark and other technologies. Akmal will explain how to:

  • Optimize stream ingestion from Kafka and other popular messaging and streaming technologies
  • Architect pre-processing and analytics for performance and scalability
  • Implement and tune Apache Ignite and Spark together
  • Design to ensure performance for real-time reports
Meetup

Meetup

Best Practices for Deploying Distributed Databases and In-Memory Computing Platforms with Kubernetes

Bay Area In-Memory Computing Meetup, Menlo Park, Speaker - Denis Magda
August 23, 2018

Denis will explain how Kubernetes can orchestrate a distributed database or in-memory computing solutions using Apache Ignite as an example. He'll demonstrate how to:

  • Deploy, provision and manage an IMDG or IMDB when you wish to keep data in RAM
  • Set up and manage persistence for the in-memory technologies above or configure a disk-based distributed database
  • Set up auto-discovery and automated horizontal scalability, and use other tricks for high availability
Meetup

Meetup

In-Memory Computing Essentials for Data Scientists

Metis: San Francisco Data Science, Speaker - Valentin Kulichenko
August 22, 2018

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by storing and processing massive amounts of data in memory and on disk across a cluster of machines. These capabilities and benefits will be demonstrated with the usage of Apache Ignite which is the in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs.

Conference

Conference

Apache Ignite + Apache Spark RDDs and DataFrames integration (ENG)

Data Summer Conf, Ukraine, Speaker - Akmal Chaudhri
July 21, 2018

This session will explain how Apache Spark and Ignite are integrated, and how they are used to together for analytics, stream processing and machine learning. By the end of this session attendees will understand:

  • How Apache Ignite’s native RDD and new native DataFrame APIs work
  • How to use Ignite as an in-memory database and massively parallel processing (MPP) style collocated processing for preparing and managing data for Spark
  • How to leverage Ignite to easily share state across Spark jobs using mutable RDDs and DataFrames
  • How to leverage Ignite distributed SQL and advanced indexing in memory to improve SQL performance
Conference

Conference

Adding Speed and Scale to Existing Applications with No Rip and Replace Using Apache Ignite

Big Data, San Francisco v 5.0, Speaker - Denis Magda
July 18, 2018

Learn how companies are not only adding speed and scale without ripping out, rewriting or replacing their existing applications and databases, but also how they're setting themselves up for future projects to improve the customer experience. In this talk, Denis will explain how to:

  • Get started with Apache Ignite as In-Memory Data Grid (IMDG) deployed on top of RDBMS or NoSQL database
  • Keep data in sync across RAM (Apache Ignite) and disk (RDBMS/NoSQL database)
  • Leverage from Apache Ignite distributed SQL and ACID transaction for IMDG scenarios
  • Move further and start to build HTAP applications, real-time analytics, and machine learning, on the same IMDG
Meetup

Meetup

Machine and Deep Learning with in-memory computing

London In-Memory Computing Meetup, Speaker - Akmal Chaudhri
July 18, 2018

Apache Ignite is an open-source distributed database, caching and processing platform designed to store and compute on large volumes of data across a cluster of nodes. Using this free, open-source software, Akmal will give:

  • An overview of the ML and DL algorithms and how they work
  • Examples of how to implement each ML and DL algorithm
  • Tips and tricks for getting the most performance out of ML and DL
Webinars

Webinar

Best Practices for Deploying Distributed Databases and In-Memory Computing Platforms with Kubernetes

Webinar, Speaker - Denis Magda
July 11, 2018

In-memory computing technologies such as in-memory data grids (IMDG) and databases (IMDB), NoSQL and NewSQL databases can make so many things easier for a developer. But implementing DevOps for these distributed technologies and the related storage can be difficult. Luckily Kubernetes has come to the rescue!

In this webinar, learn how Kubernetes can orchestrate a distributed database or in-memory computing solutions using Apache Ignite as an example.

Webinars

Webinar

In-Memory Computing Essentials for Architects and Developers: Part 1

Webinar, Speaker - Akmal Chaudhri
July 03, 2018

In this webinar, Akmal Chaudhri will introduce the fundamental capabilities and components of an in-memory computing platform with a focus on Apache Ignite, and demonstrate how to apply the theory in practice. With increasingly advanced coding examples, architects and developers will learn about:

  • Cluster configuration and deployment
  • Data processing with key-value APIs
  • Data processing with SQL
Conference

Conference

Distributed Database DevOps Dilemmas? Kubernetes to the rescue!

DockerNYC, Speaker - Denis Magda
June 28, 2018

Distributed databases can make so many things easier for a developer, but not always for DevOps. Kubernetes has come to the rescue with an easy application orchestration! It is straightforward to do the orchestration leaning on relational databases as a data layer. However, it is more difficult to do the same when a distributed SQL database or other kind of distributed storage is used instead. In this presentation, attendees will learn how Kubernetes can orchestrate a distributed database like Apache Ignite, in particular:

  • Cluster Assembling - database nodes auto-discovery in Kubernetes
  • Database Resilience - automated horizontal scalability
  • Database Availability - what’s the role of Kubernetes and the database
  • Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with the durability of disk
Meetup

Meetup

Scale Out and Conquer: Architectural Decisions Behind Distributed In-Memory Systems

NYC In-Memory Computing Meetup, Speaker - Denis Magda
June 27, 2018

In this talk attendees will learn about the compromises and pitfalls architects face when designing distributed systems:

  • Advantages and disadvantages of different data-sharding algorithms
  • Effective data models for distributed environments
  • Synchronization and coordination in distributed systems
  • Local scalability issues of speeding up local processing on cluster nodes
Meetup

Meetup

Apache Cassandra vs Apache Ignite for HTAP

SQL NYC Database Meetup, Speaker - Denis Magda
June 26, 2018

Join Denis Magda to learn the current best-practices for HTAP along with the differences between Apache Cassandra and Apache Ignite, two of the most-common technologies utilized for Hybrid Transactional/Analytical Processing. This session will cover:

  • A detailed comparison of Apache Ignite and Apache Cassandra for HTAP applications
  • The requirements for real-time, high volume HTAP applications
  • Architectural best practices, including how in-memory computing fits in and has eliminated tradeoffs between consistency, speed and scale
Webinars

Webinar

Building New Hybrid Transactional/Operational Processing (HTAP) Applications With Apache® Ignite®

Webinar, Speaker - Denis Magda
June 20, 2018

Learn how companies build new HTAP applications with in-memory computing that leverage analytics within transactions to improve business outcomes. This is how many retail innovators like Amazon, Expedia/HomeAway or SaaS innovators like Workday have succeeded. This webinar will explain with examples on how to:

  • Merge operational data and analytics together, so that analytics can work against the most recent data
  • Improve processing and analytics scalability with massively parallel processing (MPP)
  • Increase transaction throughput using a combination of distributed SQL, ACID transaction support and native persistence
  • Synchronize data and transactions with existing systems
Conferences

Conference

Distributed Database DevOps Dilemmas? Kubernetes to the rescue!

Containerdays, Hamburg, Speaker - Akmal Chaudhri
June 19, 2018

Distributed databases can make so many things easier for a developer, but not always for DevOps. Kubernetes has come to the rescue with an easy application orchestration! It is straightforward to do the orchestration leaning on relational databases as a data layer. However, it is more difficult to do the same when a distributed SQL database or other kind of distributed storage is used instead. In this presentation, attendees will learn how Kubernetes can orchestrate a distributed database like Apache Ignite, in particular:

  • Cluster Assembling - database nodes auto-discovery in Kubernetes
  • Database Resilience - automated horizontal scalability
  • Database Availability - what's the role of Kubernetes and the database
  • Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with the durability of disk
Conferences

Conference

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT

Apache EU Roadshow, Berlin, Speaker - Akmal Chaudhri
June 14, 2018

This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

Meetup

Meetup

In-memory computing hot topics & emerging trends: Panel discussion in Menlo Park

Bay Area In-Memory Computing Meetup, Speaker - Denis Magda
June 13, 2018

While the cost of memory is still slightly higher than disk-based storage, an in-memory computing solution offers a tremendous increase in performance and much greater flexibility to incorporate new capabilities in the future. The benefit? A far superior return on investment (ROI), especially when competitive advantage and customer experience is taken into account.

You are invited to attend our June 13 gathering at BootUp in Menlo Park for an insightful panel discussion on in-memory computing hot topics and emerging trends (and more). The panel of experts will also field your questions, suggestions and ideas.

Meetup

Meetup

Skyrocket Java applications with the open-source Apache Ignite

Java Metroplex User Group (JavaMUG), Speaker - Dani Taphagen
June 13, 2018

In her talk, Dani will introduce the many components of the open-source Apache Ignite. As Java professionals, you will learn how to solve some of the most demanding scalability and performance challenges. She’ll also cover a few typical use cases and work through some code examples.

Webinars

Webinar

Adding Speed and Scale to Existing Applications with No Rip and Replace Using Apache® Ignite®

Webinar, Speaker - Denis magda
May 30, 2018

Learn how companies are not only adding speed and scale without ripping out, rewriting or replacing their existing applications and databases, but also how they're setting themselves up for future projects to improve the customer experience. This webinar will explain, with examples, how to:

  • Get started with Apache Ignite as In-Memory Data Grid (IMDG) deployed on top of RDBMS or NoSQL database
  • Keep data in sync across RAM (Apache Ignite) and disk (RDBMS/NoSQL database)
  • Leverage from Apache Ignite distributed SQL and ACID transaction for IMDG scenarios
  • Move further and start to build HTAP applications, real-time analytics, and machine learning, on the same IMDG
Meetup

Meetup

Improving Apache Spark™ In-Memory Computing with Apache Ignite®

Bay Area In-Memory Computing Meetup, Speaker - Valentin Kulichenko
May 17, 2018

Val will explain how Apache Ignite® simplifies development and improves performance for Apache Spark™. He'll demonstrate how Apache Spark and Ignite are integrated, and how they are used to together for analytics, stream processing and machine learning. By the end of his presentation you'll understand:

  • How Apache Ignite’s native RDD and new native DataFrame APIs work
  • How to use Ignite as an in-memory database and massively parallel processing (MPP) style collocated processing for preparing and managing data for Spark
  • How to leverage Ignite to easily share state across Spark jobs using mutable RDDs and DataFrames
  • How to leverage Ignite distributed SQL and advanced indexing in memory to improve SQL performance
Conferences

Conference

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT

IOT World, Santa Clara Convention Center, CA, Speaker - Denis Magda
May 16, 2018

This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. Attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

Webinars

Webinars

Machine Learning and Deep Learning with Apache® Ignite®

Webinar, Speaker - Akmal Chaudhri
May 16, 2018

Apache Ignite Release 2.4 added built-in machine learning (ML) and deep learning (DL). It not only eliminates any delays caused by transferring data to a different database or store. It delivers near real-time performance by running a variety of ML and DL algorithms in place, in memory, that are optimized for collocated processing. Learn more about these new capabilities and how to use them in Apache Ignite 2.4.

Meetups

Meetup

Comparing Apache Ignite and Cassandra for Hybrid Transactional/Analytical Processing (HTAP)

London In-Memory Computing Meetup, Speaker - Akmal Chaudhri
May 09, 2018

The 10x growth of transaction volumes, 50x growth in data volumes -- along with the drive for real-time visibility and responsiveness over the last decade -- have pushed traditional technologies including databases beyond their limits. Your choices are either buy expensive hardware to accelerate the wrong architecture, or do what other companies have started to do and invest in technologies being used for modern hybrid transactional/analytical processing (HTAP).

Meetups

Meetup

Comparing Apache Ignite and Cassandra for Hybrid Transactional/Analytical Processing (HTAP)

NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri
April 26, 2018

Learn some of the current best practices in building HTAP applications, and the differences between two of the more common technologies companies use: Apache® Cassandra™ and Apache® Ignite®. This session will cover:

  • The requirements for real-time, high volume HTAP applications
  • Architectural best practices, including how in-memory computing fits in and has eliminated tradeoffs between consistency, speed and scale
  • A detailed comparison of Apache Ignite and GridGain® for HTAP applications
Webinars

Webinar

Improving Apache Spark™ In-Memory Computing with Apache Ignite®

Webinar, Speaker - Akmal Chaudhri
April 25, 2018

Learn how Apache Ignite® simplifies development and improves performance for Apache Spark™. This session will explain how Apache Spark and Ignite are integrated, and how they are used to together for analytics, stream processing and machine learning. By the end of this session you will understand:

  • How Apache Ignite's native RDD and new native DataFrame APIs work
  • How to use Ignite as an in-memory database and massively parallel processing (MPP) style collocated processing for preparing and managing data for Spark
  • How to leverage Ignite to easily share state across Spark jobs using mutable RDDs and DataFrames
  • How to leverage Ignite distributed SQL and advanced indexing in memory to improve SQL performance
Meetups

Meetup

Comparing Apache Ignite and Cassandra for Hybrid Transactional/Analytical Processing (HTAP)

Bay Area In-Memory Computing Meetup, Speaker - Dmitriy Setrakyan
April 11, 2018

Learn some of the current best practices in building HTAP applications, and the differences between two of the more common technologies companies use: Apache® Cassandra™ and Apache® Ignite®. This session will cover:

  • The requirements for real-time, high volume HTAP applications
  • Architectural best practices, including how in-memory computing fits in and has eliminated tradeoffs between consistency, speed and scale
  • A detailed comparison of Apache Ignite and GridGain® for HTAP applications
Meetups

Meetup

Apache Spark and Apache Ignite: Make streaming analytics real with in-memory computing

Apache Spark and Distributed Computing Maryland, Speaker - Akmal Chaudhri
April 05, 2018

Learn how Apache Spark is integrated with Apache Ignite through standard Spark APIs, and how Spark benefits from processing data in-memory in Apache Ignite. In this session Akmal will demonstrate how to:

  • Use Ignite as an in-memory database for Spark applications
  • Perform streaming analytics by deploying Spark stream pipeline
  • Process data stored in Ignite with Spark RDDs and DataFrames
  • Speed up SQL queries by leveraging the Ignite SQL engine and indexing
Meetups

Meetup

Apache Ignite: the in-memory hammer in your data science toolkit.

NOVA Data Science, Speaker - Akmal Chaudhri
April 04, 2018

In this presentation, Akmal will look at some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Meetups

Meetup

Faster data access and processing? Our experiment with Apache Ignite

DC Spring Framework Meetup, Speaker - Akmal Chaudhri
April 03, 2018

Slow database performance is a common complaint for Java developers. Is Apache Ignite the solution? Akmal Chaudhri will cover a few typical use cases and work through some code examples using Apache Ignite.

Meetups

Meetup

The In-Memory Hammer In Your Data Science Toolkit

Big Data, Washington DC v 2.0, Speaker - Akmal Chaudhri
April 02, 2018

In this presentation, Akmal will explain some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Webinars

Webinar

Comparing Apache® Ignite® and Cassandra™ for Hybrid Transactional Applications (HTAP)

BrightTALK Webinar, Denis Magda
March 28, 2018

Learn some of the current best practices in building HTAP applications, and the differences between two of the more common technologies companies use: Apache® Cassandra™ and Apache® Ignite®. This session will cover:

  • The requirements for real-time, high volume HTAP applications
  • Architectural best practices, including how in-memory computing fits in and has eliminated tradeoffs between consistency, speed and scale
  • A detailed comparison of Apache Ignite and GridGain® for HTAP applications
Webinars

Webinars

Comparing Apache® Ignite® and Cassandra™ for Hybrid Transactional Applications (HTAP)

Webinar, Denis Magda
March 28, 2018

Learn some of the current best practices in building HTAP applications, and the differences between two of the more common technologies companies use: Apache® Cassandra™ and Apache® Ignite®. This session will cover:

  • The requirements for real-time, high volume HTAP applications
  • Architectural best practices, including how in-memory computing fits in and has eliminated tradeoffs between consistency, speed and scale
  • A detailed comparison of Apache Ignite and GridGain® for HTAP applications
Meetup

Meetup

In-Memory Computing Essentials for Data Scientists

Symbion IoT Meetup (Copenhagen, Denmark), Speaker - Akmal Chaudhri
March 28, 2018

In this hands on workshop, attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by storing and processing massive amounts of data in memory and on disk across a cluster of machines.

Meetup

Meetup

Apache Ignite: the in-memory hammer in your data science toolkit

Symbion IoT Meetup (Copenhagen, Denmark), Speaker - Akmal Chaudhri
March 27, 2018

In this presentation, Akmal will explain some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Meetup

Meetup

How to Share State Across Multiple Spark Jobs using Apache Ignite

Atlanta Apache Spark User Group, Speaker - Akmal Chaudhri
March 20, 2018

This session will demonstrate how to easily share state in-memory across multiple Spark jobs, either within the same application or between different Spark applications using an implementation of the Spark RDD abstraction provided in Apache Ignite

Meetup

Meetup

Apache Ignite: The in-memory hammer in your data science toolkit

Big Bang Data Science - Georgia, Speaker - Akmal Chaudhri
March 19, 2018

Join Big Bang Data Science as we learn from Dr. Akmal Chaudhri about some of the main components of Apache Ignite, such as the Compute Grid, Data Grid, and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Webinars

Webinar

Choosing the Right In-Memory Computing Technology

Webinar, Dmitriy Setrakyan
March 14, 2018

The need for real-time computing has resulted in the growth of many different in-memory computing technologies including caches, in-memory data grids, in-memory databases, streaming technologies and broader in-memory computing platforms. But what are the best technologies for each type of project? Learn about your options from one of the leading in-memory computing veterans.

Meetup

Meetup

All the Cool Kids are Doing it: The Whys and Hows of Architecting a Distributed Caching solution for your use case with Apache Ignite

NYC In-Memory Computing Meetup, Speaker - Fotios Filacouris
March 14, 2018

Are you considering a distributed cache to help accelerate and scale your existing application? Or do you have a new project that you know the SLAs are going to require an act of magic to produce? Have no fear, Foti is here to walk your through some reference architectures on various use cases that have benefited from using Apache Ignite. He will cover the Why and How of each use case and the pros and cons of different technology choices. How to use Kafka, noSQL, RDBMS, Kubernetes and container deployment, Spark, etc will all be discussed in terms of various best practices in architecting the right solution with Apache Ignite.

Meetup

Meetup

In-Memory Computing Essentials for Architects and Developers - Part 1

Moscow Apache Ignite Meetup, Speaker - Denis Magda
March 13, 2018

Denis Magda will talk about the main features and components of In-Memory Computing solutions using the example of Apache Ignite. The webinar combines theory and practice, after which participants will be able to design and write code for similar systems. On specific examples of the code you will learn about:

  • Configuration and launch of clusters
  • Data processing using key-value API
  • Optimal data processing with distributed SQL

This webinar is in Russian.

Conference

Conference

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT

OpenIoTSummit North America, Speaker - Akmal Chaudhri
March 12, 2018

This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

Meetup

Meetup

In-Memory Computing Essentials for Java Developers

Amsterdam Java User Group Workshop, Speaker - Akmal Chaudhri
March 08, 2018

Akmal Chaudhri will introduce to the fundamental capabilities of in-memory computing platforms that boost high-load applications and services, and bring existing IT architecture to the next level by storing and processing a massive amount of data both in RAM and, optionally, on disk.

Meetup

Meetup

Catch an intro to the Java-powered Apache Ignite - memory-centric distributed platform

Amsterdam Java User Group, Speaker - Akmal Chaudhri
March 07, 2018

In his talk, Akmal will introduce the many components of the open-source Apache Ignite. You will learn how to solve some of the most demanding scalability and performance challenges. Akmal will also cover a few typical use cases and work through some code examples. Hope to see you there so you can leave ready to fire up your database deployments!

Meetup

Meetup

Distributed Database DevOps Dilemmas? Kubernetes to the rescue!

Amsterdam Kubernetes/Cloud-Native Meetup, Speaker - Akmal Chaudhri
March 06, 2018

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by storing and processing massive amounts of data in memory and on disk across a cluster of machines. These capabilities and benefits will be demonstrated with the usage of Apache Ignite which is the in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs.

Meetup

Meetup

Skyrocket Java applications with the open-source Apache Ignite

The Brussels Java User Group, Speaker - Akmal Chaudhri
March 05, 2018

In his talk, Akmal will introduce the many components of the open-source Apache Ignite. As Java professionals, you will learn how to solve some of the most demanding scalability and performance challenges. He’ll also cover a few typical use cases and work through some code examples. Attendees would leave ready to fire up their own database deployments!

Webinars

Webinars

Basics of In-Memory Computing for architects and developers: Part 1

Webinar, Denis Magda
Febuary 28, 2018

Denis Magda will talk about the main features and components of In-Memory Computing solutions using the example of Apache Ignite. The webinar combines theory and practice, after which participants will be able to design and write code for similar systems. On specific examples of the code you will learn about:

  • Configuration and launch of clusters
  • Data processing using key-value API
  • Optimal data processing with distributed SQL

This webinar is in Russian.

Meetup

Meetup

The In-Memory Hammer In Your Data Science Toolkit

Big Data, Berlin, Speaker - Akmal Chaudhri
Febuary 22, 2018

In this presentation, Akmal will explain some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Meetup

Meetup

Building consistent and highly available distributed systems with Apache Ignite and GridGain

Bay Area In-Memory Computing Meetup, Speaker - Valentin Kulichenko
Febuary 21, 2018

In this session, meetup attendees will be given an overview of Apache® Ignite® and GridGain capabilities that allow the delivery of high availability, while not breaking data consistency. Specific guidelines will be presented on how to build such systems covering topics such as:

  • In-memory backups
  • Data persistence
  • Data center replication
  • Full and incremental snapshots

Meetup

Meetup

Kubernetes: Good, Bad, Ugly of GKE and Distributed Databases in Kubernetes

Berlin Kubernetes Meetup, Speaker - Akmal Chaudhri
Febuary 21, 2018

In this talk you will learn how Kubernetes can orchestrate distributed database like Apache Ignite, in particular:

  • Cluster Assembling - database nodes auto-discovery in Kubernetes
  • Database Resilience - automated horizontal scalability
  • Database Availability - what’s the role of Kubernetes and the database
  • Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with durability of disk

Conference

Conference

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT

Index Developer Conference, Speaker - Denis Magda
Febuary 20, 2018

It is not enough to build a mesh of sensors or embedded devices to obtain more insights about the surrounding environment and optimize your production systems. Usually, your IoT solution needs to be capable of transferring enormous amounts of data to storage or the cloud where the data have to be processed further. This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.

Meetup

Meetup

Skyrocket Java applications with the open-source Apache Ignite

Java Usergroup Berlin-Brandenburg, Speaker - Akmal Chaudhri
Febuary 20, 2018

In his talk, Akmal will introduce the many components of the open-source Apache Ignite. Meetup members, as Java professionals, will learn how to solve some of the most demanding scalability and performance challenges. He’ll also cover a few typical use cases and work through some code examples. Attendees would leave ready to fire up their own database deployments!

Webinar

Webinar

GridGain Webinar: Redis Replaced: Why Companies Now Choose Apache® Ignite® to Improve Application Speed and Scale

Webinar, Denis Magda
Febuary 20, 2018

Learn why businesses are choosing Apache Ignite to handle their in-memory computing needs, and moving away from traditional caches like Redis. In this session, Denis will explain how:

  • In-memory technologies have evolved from caches to in-memory computing platform
  • Apache Ignite slides in-between existing applications and SQL databases to improve performance and scale
  • Apache Ignite native SQL and ACID transaction support works
  • Apache Ignite in-memory storage and collocated computing scales out linearly to avoid scale limitations with traditional caches

Meetup

Meetup

Deploy like a Boss: Using Kubernetes and Apache Ignite!

San Francisco Kubernetes Meetup, Speaker - Dani Traphagen
Febuary 15, 2018

If downtime is not an option for you and your application needs to be extremely low-latency; what cocktail of open source projects can facilitate this best? Both Kubernetes and Apache Ignite are Open Source Frameworks that work exceedingly well together to achieve said goals. By working with containerization Kubernetes helps enable developers to work seamlessly with new versions of their applications, running them where they want with a flexibly scalable experience. Apache Ignite is the perfect complement to this.

Webinars

Webinar

Getting Started with Apache® Ignite® as a Distributed Database

Webinar, Valentin Kulichenko
Febuary 14, 2018

Apache Ignite native persistence is a distributed ACID and SQL-compliant store that turns Apache Ignite into a full-fledged distributed SQL database. In this webinar, Valentin Kulichenko will:

  • Explain what native persistence is, and how it works
  • Show step-by-step how to set up Apache Ignite with native persistence
  • Explain the best practices for configuration and tuning

Meetup

Meetup

Ignite your Cassandra Love Story: Caching Cassandra with Apache Ignite

Sydney Cassandra Users Meetup, Speaker - Rachel Pedreschi
Febuary 13, 2018

In this session you will learn how Apache Ignite can turbocharge your Cassandra cluster without sacrificing availability guarantees. In this talk we’ll cover:

  • An overview of the Apache Ignite architecture
  • How to deploy Apache Ignite in minutes on top of Cassandra
  • How companies use this powerful combination to handle extreme OLTP workloads

Meetup

Meetup

Java and In-Memory Computing: Apache Ignite

The Boston Java Meetup Group, Speaker - Fotios Filacouris
Febuary 13, 2018

In his talk, Akmal will introduce the many components of the open-source Apache Ignite. Meetup members, as Java professionals, will learn how to solve some of the most demanding scalability and performance challenges. He’ll also cover a few typical use cases and work through some code examples. Attendees would leave ready to fire up their own database deployments!

Meetup

Meetup

Turbocharge your MySQL queries in-memory with Apache Ignite

The Boston MySQL Meetup Group, Speaker - Fotios Filacouris
Febuary 12, 2018

Apache Ignite is a unique data management platform that is built on top of a distributed key-value storage and provides full-fledged MySQL support.Attendees will learn how Apache Ignite handles auto-loading of a MySQL schema and data from PostgreSQL, supports MySQL indexes, supports compound indexes, and various forms of MySQL queries including distributed MySQL joins.

Meetup

Meetup

Turbocharge your MySQL queries in-memory with Apache Ignite

The Boston MySQL Meetup Group, Speaker - Fotios Filacouris
Febuary 12, 2018

Apache Ignite is a unique data management platform that is built on top of a distributed key-value storage and provides full-fledged MySQL support.Attendees will learn how Apache Ignite handles auto-loading of a MySQL schema and data from PostgreSQL, supports MySQL indexes, supports compound indexes, and various forms of MySQL queries including distributed MySQL joins.

Meetup

Meetup

Building consistent and highly available distributed systems with Apache Ignite and GridGain

London In-Memory Computing Meetup, Speaker - Akmal Chaudhri
Febuary 07, 2018

It is well known that there is a tradeoff between data consistency and high availability. However, there are many applications that require very strong consistency guarantees. Making such applications highly available can be a significant challenge. Akmal will explain how to overcome these challenges.

Conferences

Conferences

Apache Ignite Service Grid: Foundation of Your Microservices-Based Solution

DeveloperWeek 2018, Speaker - Denis Magda
Febuary 07, 2018

During this session, Denis will provide a step-by-step guide on how to build a fault-tolerant and scalable microservice-based solution using Apache Ignite's Service Grid and other components to resolve these aforementioned issues.

Meetup

Meetup

Meet Apache Ignite In-Memory Computing Platform

Tech it Easy- Tokyo, Speaker - Roman Shtykh
Febuary 01, 2018

In this talk you will learn about Apache Ignite memory-centric distributed database, caching, and processing platform. Roman will explain how one can do distributed computing, and use SQL with horizontal scalability and high availability of NoSQL systems with Apache Ignite.

Meetup

Meetup

Deploy like a Boss: Using Kubernetes and Apache Ignite!

Los Angeles Kubernetes Meetup, Dani Traphagen
January 31, 2018

If downtime is not an option for you and your application needs to be extremely low-latency; what cocktail of open source projects can facilitate this best? Both Kubernetes and Apache Ignite are Open Source Frameworks that work exceedingly well together to achieve said goals. By working with containerization Kubernetes helps enable developers to work seamlessly with new versions of their applications, running them where they want with a flexibly scalable experience. Apache Ignite is the perfect complement to this.

Webinar

Webinar

Ignite The Fire In Your SQL App

Webinar, Akmal Chaudhri
January 31, 2018

Apache Ignite is (an in-memory computing platform OR an in-memory distributed data store and compute grid) with full-fledged SQL, key-value and processing APIs. Many companies have added it as a cache in-between existing SQL databases and their applications to speed up response times and scale. In other projects they've used it as its own SQL database. This session will dive into some of the best practices for both types of projects using Apache Ignite.

Meetup

Meetup

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT

Big Data Application Meetup, Speaker - Denis Magda
January 31, 2018

This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.

Meetup

Meetup

Building consistent and highly available distributed systems with Apache Ignite and GridGain

NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri
January 25, 2018

It is well known that there is a tradeoff between data consistency and high availability. However, there are many applications that require very strong consistency guarantees, and making such applications highly available can be a significant challenge. In this session, attendees will be given an overview of Apache Ignite and GridGain capabilities that allow the delivery of high availability, while not breaking data consistency.

Webinar

Webinar

Scale Out and Conquer: Architectural Decisions Behind Distributed In-Memory Systems

Webinar, Denis Magda
January 17, 2018

Distributed platforms like Apache® Ignite® rely on a horizontal “scale-out” architecture where you dynamically add more machines to achieve near-linear, elastic scalability. But how does it really work? What are its limits? And how can you optimize performance and scalability?

Conference

Conference

Getting Started With Apache Ignite

Nike Teck Talks, Speaker - Dani Traphagen
December 14, 2017

Apache Ignite provides a caching layer between applications and the system of record, but additionally, it provides a peer to peer architecture for transacting data, performing computations, microservices, streaming, and much more. During this session, we will do a deep-dive into the Apache Ignite architecture and discuss how it is being deployed around the globe. You will walk away knowing why and when to use Apache Ignite in your next data intensive application!

Meetup

Meetup

Want extreme performance at scale? Do distributed the RIGHT way!

Bay Area In-Memory Computing Meetup, Speaker - Valentin Kulichenko
December 13, 2017

During this meetup, Valentin Kulichenko will talk about challenges and pitfalls one may face when architecting and developing a distributed system. Valentin will show how to take advantage of the affinity collocation concept that is one of the most powerful and usually undervalued technique provided by distributed systems. He will take Apache Ignite as a database for his experiments covering these moments in particular: What is data affinity and why is it important for distributed systems? What is affinity colocation and how does it help to improve performance? How does affinity colocation affects execution of distributed computations and distributed SQL queries? And more...

Webinar

Webinar

In-Memory Computing Essentials for Architects and Developers: Part 2

Webinar, Denis Magda
December 13, 2017

In this webinar, Denis Magda will introduce the fundamental capabilities and components of a distributed, in-memory computing platform. With increasingly advanced coding examples, you’ll learn about:

  • Collocated processing
  • Collocated processing for distributed computations
  • Collocated processing for SQL (distributed joins and more)
  • Distributed persistence usage
Meetup

Meetup

Apache Ignite Use Cases for Banks and Telecoms

Moscow Apache Ignite Meetup, Speakers- Mikhail Kuznetzov, Mikhail Khasin, Victor Khoodyakov
December 12, 2017

Welcome to the inaugural gathering of the Moscow Apache® Ignite® Meetup! Our guest experts - Mikhail Kuznetzov, Mikhail Khasin, and Victor Khoodyakov will talk about their experiences implementing solutions for a large bank as well as a telecom company, based on Apache Ignite.

Conferences

Conference

Distributed Database DevOps Dilemmas? Kubernetes to the Rescue

KubeCon + CloudNativeCon North America 2017, Speaker - Denis Magda
December 08, 2017

Distributed databases can make so many things easier for a developer... but not always for DevOps. OK, almost never for DevOps. Kubernetes has come to the rescue with an easy application orchestration! In this talk you will learn how Kubernetes can orchestrate distributed database like Apache Ignite, in particular:

  • Cluster Assembling - database nodes auto-discovery in Kubernetes.
  • Database Resilience - automated horizontal scalability.
  • Database Availability - what’s the role of Kubernetes and the database.
  • Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with durability of disk.
Meetup

Meetup

Apache Ignite: the in-memory hammer in your data science toolkit

Austin Data Meetup, Speaker - Denis Magda
December 07, 2017

Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, computers are able to find hidden insights without the help of explicit programming. These insights bring tremendous benefits into many different domains. For business users, in particular, these insights help organizations improve customer experience, become more competitive, and respond much faster to opportunities or threats. The availability of very powerful in-memory computing platforms, such as the open-source Apache Ignite (https://ignite.apache.org/), means that more organizations can benefit from machine learning today. In this presentation, Denis will look at some of the main components of Apache Ignite, such as a distributed database, distributed computations, and machine learning toolkit. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Webinars

Webinar

Meeting the Challenges of Fast Data in Healthcare with In-Memory Technologies

Webinar, Akmal Chaudhri
December 06, 2017

In this webinar, Akmal Chaudhri will discuss the requirements for fast data in healthcare and specifically how Apache Ignite, a distributed in-memory computing platform, is used by drug discovery companies to identify potential therapies for complex diseases.

Webinars

Webinar

Implementing Durable Memory-Centric Architectures in Large Financial
Institutions

Webinar, Dmitriy Setrakyan
November 29, 2017

In this 1-hour webinar, GridGain Systems Chief Product Officer Dmitriy Setrakyan will present how distributed memory-centric architectures can be applied to various financial systems. Dmitriy will first go over some Apache® Ignite® features important for financial use cases, including ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance and more. He will next analyze one of the largest Apache Ignite deployments in the world at Sberbank, a Russian and eastern European bank. He’ll walk through its overall architecture and demonstrate the 5 major challenges that Sberbank ran into when integrating distributed, horizontally scalable memory-centric database at their bank.

Webinars

Webinar

In-Memory Computing Essentials for Architects and Developers: Part 1

Webinar, Denis Magda
November 21, 2017

In this webinar, Denis Magda will introduce the fundamental capabilities and components of an in-memory computing platform, and demonstrate how to apply the theory in practice. With increasingly advanced coding examples, you’ll learn about:

  • Cluster configuration and deployment
  • Data processing with key-value APIs
  • Data processing with SQL
Meetup

Meetup

Hands-on Workshop: In-Memory Computing Essentials for Java Developers

Big Data and Cloud Meetup, Speaker - Denis Magda
November 16, 2017

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost high-load applications and services, and bring existing IT architecture to the next level by storing and processing a massive amount of data both in RAM and, optionally, on disk. The capabilities and benefits of such platforms will be demonstrated with the usage of Apache Ignite, which is the in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs.

Conferences

Conferences

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT

Devoxx Morocco, Speaker - Akmal Chaudhri
November 16, 2017

It is not enough to build a mesh of sensors or embedded devices to obtain more insights about the surrounding environment and optimize your production systems. Usually, your IoT solution needs to be capable of transferring enormous amounts of data to storage or the cloud where the data have to be processed further. Quite often, the processing of the endless streams of data has to be done in real-time so that you can react on the IoT subsystem's state accordingly. This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

Conferences

Conferences

How to build an event-driven, dynamically re-configurable micro-services platform

Devoxx Belgium, Speaker - Sven Beauprez
November 10, 2017

Why only look at Apache Kafka to build event-driven microservices when there is also Apache Ignite, which brings far more to the table?

In this presentation, Sven will show you how to combine Apache Ignite with Docker to not only build an event-driven microservice platform but also to make this dynamically re-configurable without any downtime at all.

Conferences

Conferences

Apache Ignite: The In-Memory Hammer In Your Data Science Toolkit 

ODSC San Francisco, Speaker - Denis Magda
November 3, 2017

Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, computers are able to find hidden insights without the help of explicit programming. These insights bring tremendous benefits into many different domains. For business users, in particular, these insights help organizations improve customer experience, become more competitive, and respond much faster to opportunities or threats. The availability of very powerful in-memory computing platforms, such as Apache Ignite, means that more organizations can benefit from machine learning today. In this presentation Denis will look at some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Meetup

Meetup

Fast Data meets Big Data in the IoT- Using Apache Ignite 

Sydney IBM Bluemix Meetup Group, Speaker - Rachel Pedreschi
November 2, 2017

So, you've built yourself a killer IoT application. You have connected all the things and they are all happily sending over their packets of data faster than you can say "Big Blue". Now what? How do you architect a server architecture that can support all the data flowing in and also be able to grow for the future? In this talk, Rachel will cover some of the architectural decisions you need to consider when choosing a data platform and discuss how Apache Ignite can meet those requirements. Rachel will also cover other design options like NoSQL and Spark and how to deploy in the IBM cloud.

Meetup

Meetup

Achieving High Availability and Consistency With Distributed Systems 

Bay Area Apache® Ignite® Meetup, Speakers - Denis Magda, Valetin Kulichenko
November 2, 2017

Tech talk No. 1 - Val kicks off the learning with a session titled, "Building Consistent and Highly Available Distributed Systems with Apache Ignite and GridGain."

Tech talk No. 2 - Denis continues the knowledge sharing with a session titled, "Harnessing the 21st Century with a Distributed Memory-Centric SQL."

Meetup

Meetup

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT 

Dublin Spark Meetup, Speaker - Akmal Chaudhri
October 26, 2017

In this session, Akmal will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

Conferences

Conference

How to Share State Across Multiple Spark Jobs using Apache® Ignite® 

Spark Summit Europe 2017, Speaker - Akmal Chaudhri
October 25, 2017

Attend this session to learn how to easily share state in-memory across multiple Spark jobs, either within the same application or between different Spark applications using an implementation of the Spark RDD abstraction provided in Apache Ignite. During the talk, attendees will learn in detail how IgniteRDD – an implementation of native Spark RDD and DataFrame APIs – shares the state of the RDD across other Spark jobs, applications and workers. Examples will show how IgniteRDD, with its advanced in-memory indexing capabilities, allows execution of SQL queries many times faster than native Spark RDDs or Data Frames.

Conferences

Conference

The In-Memory Computing Summit 2017 – North America 

South San Francisco Conference Center
October 24-25, 2017

There will be several highly technical talks about Apache Ignite at the 3rd-annual In-Memory Computing Summit Oct. 24-25 at the South San Francisco Conference Center. The IMC Summit is the only industry-wide event that focuses on the full range of in-memory computing-related technologies and solutions held in North America.

Check out the agenda here: https://www.imcsummit.org/us/agenda/schedule/day-1

Meetup

Meetup

Better Machine Learning with Apache® Ignite® 

Eurostaff Big Data Meetup, Speaker - Akmal Chaudhri
October 19, 2017

The availability of very powerful in-memory computing platforms, such as Apache® Ignite®, means that more organizations can benefit from machine learning today. In this presentation, Akmal will discuss how the Compute Grid, Data Grid, and Machine Learning Grid components of Apache Ignite work together to enable your business to start reaping the benefits of machine learning.

Through examples, attendees will learn how Apache Ignite can be used for data analysis and be the in-memory hammer in your machine learning toolkit.

Meetup

Meetup

Catch an intro to Apache Ignite and skyrocket Java applications 

Java User Group Meetup, Speaker - Valentin Kulichenko
October 18, 2017

Join Valentin (Val) Kulichenko as he introduces the many components of the open-source Apache Ignite. You, as a Java professional, will learn how to solve some of the most demanding scalability and performance challenges. He will also cover a few typical use cases and work through some code examples. Hope to see you there so you can leave ready to fire up your database deployments!

Webinars

Webinar

Apache® Spark™ and Apache® Ignite®: Where Fast Data Meets the IoT 

Webinar, Denis Magda
October 18, 2017

During this 1-hour webinar, Denis Magda will discuss a Fast Data solution that can receive endless streams from the Internet of Things (IoT) and be capable of processing the streams in real-time using Apache Ignite’s cluster resources. You will also learn about data streaming to an Apache Ignite® cluster from embedded devices and real-time data processing with Apache® Spark™.

Conferences

Conference

Apache Ignite®: The In-Memory Hammer in Your Data Science Toolkit 

ODSC Europe 2017, Speaker - Akmal Chaudhri
October 14, 2017

In this presentation, Akmal will show some of the main components of Apache Ignite®, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Conferences

Conference

Powering up banks and financial institutions with distributed systems 

Big Data Week London 2017, Speaker - Akmal Chaudhri
October 13, 2017

In this presentation, attendees will learn about important Apache Ignite features for financial applications, such as ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance and more.

A customer case study will also be presented. We will analyze one of the largest Apache Ignite deployments in the world at Sberbank, a Russian and Eastern European Bank, by walking through the overall architecture and demonstrating various implementation and deployment challenges.

Conferences

Conference

Real-time Data Analysis with Apache Ignite High-Performance In-memory Platform 

Data Platform Conference Tokyo 2017, Speaker - Roman Shtykh
October 10, 2017

With the advances in IoT technology, the volume and the diversity of data to be analyzed has enormously increased, and processing it with traditional disk-based technology has become more challenging. Therefore the number of data analysis solutions using in-memory technology, such as Apache Ignite high-performance in-memory platform, has increased.

In this session, Roman will introduce Apache Ignite, and explain how it can be used for real-time analysis of large volumes of IoT data.

Webinar

Webinar

Postgres with Apache® Ignite®: Faster Transactions and Analytics 

Webinar, Fotios Filacouris
October 4, 2017

Join Fotios Filacouris as he discusses how you can supplement PostgreSQL with Apache Ignite. You'll learn:

  • The strategic benefits of using Apache Ignite instead of Memcache, Redis®, GigaSpaces®, or Oracle Coherence™
  • How to overcome the limitations of the PostgreSQL architecture for big data analytics by leveraging the parallel distributed computing and ANSI SQL-99 capabilities of Apache Ignite
  • How to use Apache Ignite as an advanced high-performance cache platform for hot data
Meetup

Meetup

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT 

Paris Spark Meetup, Speaker - Akmal Chaudhri
October 3, 2017

In this session, Akmal will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

Meetup

Meetup

Giving a boost to the Hadoop and Spark ecosystems with in-memory technologies 

Big Data & Data Science, Paris, Speaker - Akmal Chaudhri
October 2, 2017

In this talk, Akmal present how to speed up existing Hadoop and Spark deployments by making Apache Ignite responsible for RAM utilization. No code modifications, no new architecture from scratch! Specifically, this presentation will cover : Hadoop Accelerator, HDFS compliant In-Memory File System, MapReduce Accelerator, Spark Shared RDDs, Spark SQL boost.

Meetup

Meetup

Stateful Apps in Production and Distributed Database Orchestration 

New York Kubernetes Meetup, Speaker - Akmal Chaudhri
September 27, 2017

This talk will focus on a DevOps perspective on the orchestration of distributed databases, Apache Ignite. Denis will speak on node auto-discovery, automated horizontal scalability, availability and utilization of RAM and disk with Apache Ignite.

Webinars

Webinar

Better Machine Learning with Apache® Ignite® 

Webinar, Akmal Chaudhri
September 27, 2017

In this presentation, Akmal will discuss how the Compute Grid, Data Grid, and Machine Learning Grid components of Apache Ignite work together to enable your business to start reaping the benefits of machine learning. Through examples, attendees will learn how Apache Ignite can be used for data analysis and be the in-memory hammer in your machine learning toolkit.

Meetup

Meetup

Powering up banks and financial institutions with distributed systems 

NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri
September 26, 2017

In this talk, Akmal will start with a brief high-level overview of distributed computing fundamentals and in-memory computing use cases. Then he'll introduce the open-source Apache Ignite, an in-memory computing platform that enables high-performance transactions, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer.

Meetup

Meetup

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT 

Internet of Things (IoT) New York Meetup, Speaker - Akmal Chaudhri
September 25, 2017

Quite often, the processing of the endless streams of data has to be done in real-time so that you can react on the IoT subsystem's state accordingly. In this session, Akmal will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.

Meetup

Meetup

Business Intelligence and Apache Ignite for .NET Users 

Meetup, Cambridge .NET User Group, Speaker - Akmal Chaudhri
September 18, 2017

This presentation will provide a deep dive into .NET features of the top level Apache projects: Apache Ignite. Apache Ignite is the memory-centric platform that combines distributed SQL database and key-value data grid, that is ACID compliant, horizontally scalable and highly available, and empowered with compute and machine learning capabilities.

Meetup

Meetup

Apache Ignite: The in-memory hammer in your data science toolkit 

Meetup, Mountain View, CA, Speaker - Denis Magda
September 13, 2017

In this talk, Denis will go through some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for big data analysis.

Webinars

Webinar

Implementing In-Memory Computing for Financial Services Use Cases with Apache® Ignite® 

Webinar, Denis Magda
September 12, 2017

In this presentation, Denis will explain features of the Apache Ignite distributed computing platform that are important for financial use cases, including:

  • ACID transaction guarantees
  • Distributed ANSI-99 SQL support
  • Replication
  • Security
  • Fault tolerance
  • Persistence
Meetup

Meetup

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT 

Meetup, Santa Clara, CA, Speaker - Denis Magda
September 09, 2017

In his talk, Denis will will show attendees how to build a sast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using the cluster resources of Apache Ignite.

Webinar

Webinar

Deploy like a Boss: Using Kubernetes® and Apache® Ignite® 

Webinar, Dani Traphagen
August 23, 2017

If downtime is not an option for you, and your application needs to be extremely low-latency, Kubernetes® and Apache® Ignite® are open source frameworks that work exceedingly well together to achieve these goals.

In this webinar, Dani Traphagen will walk through the basics of a Kubernetes and Apache Ignite deployment, including:

  • Setting up a Apache Ignite cluster
  • Using the Kubernetes IP Finder and the Kubernetes Ignite Lookup Service
  • Sharing the Ignite Cluster Configuration
  • Deploying your Ignite Pods
  • Adjusting the Ignite Cluster Size when you need to scale
Webinar

Webinar

Introduction to Apache Ignite, a memory-centric distributed platform 

Webinar, Akmal Chaudhri
August 16, 2017

Apache Ignite is an open source memory-centric platform that combines a distributed SQL database with a Key-Value Data Grid that is ACID-compliant and horizontally scalable. It enables high-performance transactions, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer.

In this webinar, attendees will learn about the many components of Apache Ignite, including the Data Grid, Compute Grid, distributed SQL database and the Machine Learning Grid. We will also cover a few typical use cases and work through some Java code examples.

Webinar

Webinar

Building Consistent and Highly Available Distributed Systems with Apache® Ignite® 

Webinar, Valentin Kulichenko
August 02, 2017

In this session, Valentin Kulichenko, Apache Ignite Committer and PMC, will give an overview of some of Apache® Ignite® capabilities that allow the delivery as much availability as possible, while not breaking data consistency. Valentin will give specific guidelines on how to build such systems, and will do a deep dive into topics like:

  • In-memory backups
  • Data persistence
  • Data center replication
  • Full and incremental snapshots
Meetup

Meetup

Diving into the internals of Apache Ignite's memory architecture 

Meetup, Denis Magda
Jul 27, 2017

Apache Ignite is one of the fastest growing Apache projects. The presentation will take the audience on a roadmap discovery of Ignite moving to a memory-centric storage model, supporting both, fast in-memory and durable on-disk data, and blending a distributed SQL database with an in-memory key-value data grid.

Meetup

Meetup

An Intro to Apache Ignite, the Memory-centric Distributed Platform 

Meetup, Akmal Chaudhri
July 26, 2017

Join Akmal Chaudhri as he introduces the many components of the open-source Apache Ignite. You, as a Java professional, will learn how to solve some of the most demanding scalability and performance challenges. He will also cover a few typical use cases and work through some code examples.

Meetup

Meetup

Distributed ACID Transactions in Apache Ignite 

Webinar, Akmal Chaudhri
July 19, 2017

During this session, Akmal Chaudhri will do a deep-dive on the architecture of Apache Ignite's ACID-compliant transactional subsystem, elaborating on the following:

  • Data consistency: one-phase and two-phase commit implementations.
  • Fault-tolerance: recovery protocol for running transactions.
  • Optimistic and Pessimistic transactions.
  • Deadlock-free transactions
  • Deadlock detection mechanism
Meetup

Meetup

Turbocharge your SQL queries in-memory with Apache® Ignite® 

Meetup, Amsterdam, Netherlands, Speaker - Denis Magda
June 20, 2017 @6:30pm

During this session, Denis will explain how Apache Ignite handles auto-loading of SQL schema and data from MySQL, supports SQL indexes, compound indexes support, and various forms of SQL queries including distributed SQL joins. He will demostrate how to:

  • Import SQL schema from MySQL and preserve the data sets stored in MySQL and Apache Ignite in sync.
  • Connect to Apache Ignite from your favourite tool or application language using ODBC or JDBC driver and start talking to a clustered data using familiar statements like SELECT, UPDATE, DELETE or INSERT.
  • Boost application performance 1,000x and scale to over 1 billion transactions per second with in-memory storage of hundreds of TB's of data for your SQL-based applications.
Meetup

Meetup

Apache Ignite Community Meetup - An Overview of Donated Ignite Persistent Store Feature 

Meetup, GoToMeeting, Speaker - Denis Magda
June 16, 2017 @8:00am

Apache Ignite Community decided to gather and dive into the details of Ignite Persistent Store donation to the main code base. It’s planned to give a general overview of the store learning more about its main capabilities and features as well as go over implementation details referring to the source code. To join use the details below. Please join my meeting from your computer, tablet or smartphone.
https://global.gotomeeting.com/join/818661157 You can also dial in using your phone.
United States: +1 (571) 317-3112 Access Code: 818-661-157

Conferences

Conferences

Apache Ignite and Apache Spark: This is Where Fast Data Meets the IoT 

Spark Summit 2017, San Francisco, CA. Speaker - Denis Magda
June 07, 2017 @3:20pm

During this session, Denis will explain and demonstrate how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time. In particular, you will learn the following:

  • Data streaming to an Apache Ignite cluster from embedded devices powered by Apache Mynewt.
  • Real-time data processing with Apache Spark and Apache Ignite.
Webinars

Webinar

Apache® Ignite® 2.0: Prelude to a Distributed SQL Database 

Webinar, Denis Magda
June 07, 2017 @11:00am PT / 2:00pm ET

Apache Ignite 2.0 is a turnkey release which blends a distributed in-memory SQL database (IMDB) and an in-memory key-value data grid (IMDG) under one data management platform. It is also a necessary stepping stone ahead of Ignite 2.1 release which will be focused around the native disk persistence, allowing Ignite operate equally well in-memory and on-disk. You will learn how the off-heap memory architecture in Ignite has been re-engineered to better support SSD or Flash-based persistence. The new off-heap design uses a page-based approach with slab memory allocation, which may be optionally mapped to a persistent storage as is, without having to serialize or deserialize the data. The new architecture automatically handles memory fragmentation, significantly accelerates SQL, and almost completely removes costly garbage collection pauses. You will also learn how to create and alter SQL indexes at runtime, as well as utilize DDL to update distributed data sets using standard SQL syntax. We will also cover B+Tree data structures used to store SQL indexes off-heap.

Conferences

Conference

Apache Ignite and Apache Spark: This is Where Fast Data Meets the IoT 

ApacheCon North America, Miami, FL. Speaker - Denis Magda
May 18, 2017 @2:40pm

During this session, Denis will explain and demonstrate how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time. In particular, you will learn the following:

  • Data streaming to an Apache Ignite cluster from embedded devices powered by Apache Mynewt.
  • Real-time data processing with Apache Spark and Apache Ignite.
Conferences

Conference

Apache Ignite SQL Grid: Hot Blend of Traditional SQL and Swift Data Grid 

ApacheCon North America, Miami, FL. Speaker - Denis Magda
May 18, 2017 @10:00am

In-memory data grids bring exceptional performance and scalability gains to applications built on top of them. The applications truly achieve 10x more performance improvement and become easily scalable and fault-tolerant thanks to the unique data grids architecture. However, because of this particular architecture, a majority of data grids have to sacrifice traditional SQL support requiring application developers to completely rewrite their SQL-based code to support data grid specific APIs.

Meetup

Meetup

Apache Ignite and Apache Spark: Where Fast Data Meets the IoT 

Miami Hadoop User Group, Miami, FL. Speaker - Denis Magda
May 17, 2017 @6:00pm

During this session, Denis will explain and demonstrate how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time. In particular, you will learn the following:

  • Data streaming to an Apache Ignite cluster from embedded devices powered by Apache Mynewt.
  • Real-time data processing with Apache Spark and Apache Ignite.
Meetup

Meetup

Benchmarking: Apache Ignite Still Keeps Ahead Of Hazelcast 

Blog, Denis Magda
May 12, 2017

There's an ad saying that Hazelcast is up to 50% faster than Apache Ignite, but that may not be true anymore. Check out this benchmark to get the true story.

Meetup

Meetup

Conference

Conference

The next phase of distributed systems with Apache Ignite 

OSCON, Austin, TX. Speaker - Dani Traphagen
May 10, 2017 @5:05pm

Is memory the new disk? If so, what does this mean for the future of database systems and persistence as we know it? Will all our data(bases) still belong to us? Dani Traphagen explores the key paradigm shifts currently impacting those Fortune 500 companies that view disk as a bottleneck. Dani explains how to optimize toward the cache, leveraging it for low-latency, highly available microservices architectures with the hot-and-fresh-out-of-the-kitchen open source project Apache Ignite.

Webinars

Webinar

Apache® Ignite®: Real-Time Processing of IoT-Generated Streaming Data 

Webinar, Denis Magda
May 10, 2017 @11:00am

During this 1-hour webinar, Denis will explain and demonstrate how to build a fast data solution that can receive endless IoT-generated streams and process them in real-time using Apache Ignite's distributed in-memory computing platform. In particular, you will learn the following:

  • How to stream data to an Apache Ignite cluster from embedded devices
  • How to conduct real-time data processing on this stream using Apache Ignite
Webinars

Webinar

Apache Ignite 2.0 Released 

May 05, 2017

This major release was under the development for a long time. The community spent almost a year incorporating tremendous changes to the legacy Apache Ignite 1.x architecture. Curious why are we so boastful about this? Some of the main features of Apache Ignite 2.0 are:

  • Re-engineered Off-Heap Memory Architecture
  • Data Definition Language
  • Machine Learning Grid Beta - Distributed Algebra
  • Integration with Spring Data, Rocket MQ, Hibernate 5
  • Enchanced Inite.Net and Ignite C++ APIs

See release notes for a full list of the changes.

Conferences

Conferences

Accelerate MySQL® for Demanding OLAP and OLTP Use Cases with Apache® Ignite™ 

Percona Live 2017, Santa Clara, CA, USA. Speaker - Nikita Ivanov
April 25, 2017 @1:20pm PT

How to overcome the limitations of the MySQL architecture for big data analytics by leveraging the parallel distributed computing and ANSI SQL-99 capabilities of Apache Ignite. How to use Apache Ignite as an advanced high performance cache platform for hot data. The strategic benefits of using Apache Ignite® instead of memcache, Redis®, Elastic®, or Apache® Spark™. At the end of the session, you will understand how incorporating Apache Ignite into your architecture can empower dramatically faster analytics and transactions when augmenting your current MySQL infrastructure.

Webinar

Webinar

Apache® Ignite™: An In-Memory Backbone for Microservices-Based Architectures 

Webinar, Denis Magda
April 19, 2017 @11:00am PT / 2:00pm ET

When systems that rely on microservices are used under high load or have to process rapidly growing volumes of data, they usually face the same issues and difficulties as applications that are not microservices-based. Disk-backed databases become a performance bottleneck as they can no longer keep up with growing volumes of data that have to be stored and processed in parallel. This degrades application performance and ultimately causes instability.
This webinar discusses how in-memory computing using Apache® Ignite® can overcome the performance limitations common to microservices architectures built using traditional database architectures.

Conference

Conference

Scalability in Distributed In-Memory Systems 

JPoint 2017, Moscow, Russia. Speaker - Vladimir Ozerov
April 7, 2017 @15:30pm

In-memory computing frameworks and products rely on a simple horizontal scalability property - the more machines we have in a cluster the better the performance. However, a reasonable question arises. If I add a second machine to the cluster will I get 2x improvement? If there are 10 machines in a cluster should I expect overall 10x performance increase? Is it true and if, yes, if the guarantee meets all the time? Join Yakov on his talk to get answers on these questions and learn more about scalability and concurrency concepts implemented in Apache Ignite In-Memory Data Fabric.

Meetup

Meetup

Scalability in Distributed In-Memory Systems 

JBreak 2017, Novosibirsk, Russia. Speaker - Yakov Zhdanov
April 4, 2017 @15:15pm

In-memory computing frameworks and products rely on a simple horizontal scalability property - the more machines we have in a cluster the better the performance. However, a reasonable question arises. If I add a second machine to the cluster will I get 2x improvement? If there are 10 machines in a cluster should I expect overall 10x performance increase? Is it true and if, yes, if the guarantee meets all the time? Join Yakov on his talk to get answers on these questions and learn more about scalability and concurrency concepts implemented in Apache Ignite In-Memory Data Fabric.

Meetup

Meetup

Presenting Apache Ignite SQL Grid at PGConf US 2017 

Presentation, Denis Magda
March 30, 2017 @14:00pm EDT

Learn how to boost performance 1,000x and scale to over 1 billion transactions per second with in-memory storage of hundreds of TBs of data for your SQL-based applications. Apache Ignite is a unique NewSQL platform that is built on top of a distributed key-value storage and provides full-fledged SQL support. Denis will show how Apache Ignite handles auto-loading of SQL schema and data, SQL indexes, compound indexes support, and various forms of SQL queries including distributed SQL joins. It will be demonstrated how to connect to Apache Ignite from your favorite tool or application language using ODBC or JDBC driver and start talking to a clustered data using familiar statements like SELECT, UPDATE, DELETE or INSERT.

Meetup

Meetup

Presenting Apache Ignite SQL Grid at Big Data Bootcamp 

Presentation, Denis Magda
March 28, 2017 @1:00pm PT

In this presentation, Denis will introduce Apache Ignite SQL Grid component that combines the best of two worlds - performance and scalability of data grids and traditional ANSI-99 SQL support of relational databases. Moreover, Denis will take an existing application that works with a relational database and will show how to run it on top of Apache Ignite with minimum efforts.

Conference

Conference

Presenting Apache Ignite at Codemotion Rome 2017 

Presentation, Mandhir Gidda
March 24, 2017 @15:00pm

Join and learn about Apache Ignite which is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.

Webinars

Webinar

The Apache® Ignite® SQL Grid: A Hot Blend of Traditional SQL and In-Memory Data Grids 

Webinar, Denis Magda
March 15, 2017 @11:00am PT / 2:00pm ET

During this webinar, Apache Ignite PMC chair Denis Magda will introduce the SQL Grid component of Apache® Ignite®. He will discuss:

  • ANSI-99 SQL queries including distributed joins
  • Creating and leveraging SQL indices
  • Data modification with ANSI-99 DML (INSERT, UPDATE, DELETE, etc.)
  • Using Apache Ignite's JDBC and ODBC drivers
Meetup

Meetup

Apache Ignite: Transform batch-based system into swift real-time solution 

Apache Ignite London Meetup
February 23, 2017

IHS Markit will present first on how they have been using Apache Ignite on several major projects. The 2nd part of the meetup will be led by Mandhir Gidda who's been working with in-memory technologies for nearly 10 years.

Webinar

Webinar

The Apache® Ignite® Web Console: Automating RDBMS Integration 

Webinar, Denis Magda
February 15, 2017 @11:00am PT / 2:00pm ET

During this webinar, Apache Ignite PMC chair Denis Magda will demonstrate how Apache® Ignite® Web Console enables automatic integration of Apache Ignite and your RDBMS. He will show you how to:

  • Import a RBMS schema and map it to the Apache Ignite caches
  • Setup indexes
  • Create a Java POJO
  • Download a ready-to-run Apache Ignite based project that will be fully integrated with the RDBMS
Webinar

Webinar

Deploying Apache® Ignite® – Top 7 FAQs 

Webinar, Christos Erotocritou and Rachel Pedreschi
January 25, 2017 @11:00am PT / 2:00pm ET

Christos Erotocritou and Rachel Pedreschi have helped numerous customers get started with Apache® Ignite® and GridGain. During this 1-hour webinar, they will share answers to the most common questions asked prior to deployment. They will also provide guidance that will save you time and make deploying Apache Ignite a more enjoyable experience.

Conference

Conference

Shared Memory Layer for Spark Applications 

Dmitriy Setrakyan, Apache Big Data Europe
November 16, 2016

Join Dmitriy Setrakyan, Apache Ignite Project Management Committee Chairman and co-founder and Chief Product Officer at GridGain, to learn more about the need to share state across different Spark jobs and applications and several technologies that make it possible, including Tachyon and Apache Ignite.

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Conference

Conference

Shared Memory Layer and Faster SQL for Spark Applications 

Dmitriy Setrakyan, Apache Big Data Europe
November 16, 2016

Learn the importance of In Memory File Systems, Shared In-Memory RDDs with Apache Ignite, as well as the need to index data in-memory for fast SQL execution.

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Conference

Conference

Apache Ignite - Path to Converged Data Platform 

Dmitriy Setrakyan, Apache Big Data Europe
November 15, 2016

The presentation will take the audience on a roadmap discovery of Ignite moving to a converged storage model, supporting both, analytical and transactional data sets.

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Meetup

Meetup

Apache Ignite London Meetup 

July 13, 2016

Join us for a technical session to look at Apache Ignite and hear from BlackRock on how they believe it will solve their application performance & scalability challenges.

Please RSVP on Meetup.com.

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Meetup

Meetup

Apache Ignite NYC Meetup 

June 28, 2016

Apache Ignite PMC member, Nikita Ivanov will be presenting a deep dive on Apache Ignite at our NYC meetup, Tuesday, June 28 at Work Market, 240 W 37th St, 9th Floor, New York, NY.

Please RSVP on Meetup.com. Space is limited and is filling up fast!

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Release

Release

Apache Ignite 1.5.0-b1 Early Access Released 

December 12, 2015

This early access version includes support for .NET and C++, Streamer for MQTT, Twitter, and Apache Flume, compact binary protocol, performance improvements for SQL queries, transactions, and more.

Download Ignite 1.5.0-b1

Release

Release

Apache Ignite 1.4.0 Released 

September 28, 2015

This is the first Apache Ignite release since the project graduated from incubation in August, 2015. This new release includes SSL support to communication and discovery, support for log4j2, significantly faster JDBC driver implementation, fixes for SQL queries group index logic, auto-retries for cache operations in recoverable cases and more.

Download Ignite 1.4.0

Release

Release

Apache Ignite Graduated to a Top-Level Project 

August 25, 2015

The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Ignite® has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

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Release

Release

Apache Ignite 1.3.0 Released 

July 21, 2015

This new release includes integration with Apache YARN for data center and resource management, fixes for JTA transactions, Hibernate L2 Cache improvements, and more.

Download Ignite 1.3.0

Release

Release

Apache Ignite 1.2.0 Released 

June 29, 2015

This new release includes shared RDD for Apache Spark (based on Ignite Data Grid), integration with Apache Mesos for data center management, client-mode for light-weight cluster discovery, memory-size eviction policy, and more.

Download Ignite 1.2.0

Release

Release

Apache Ignite 1.1.0 Released 

May 28, 2015

This new release includes Google Compute Engine and generic cloud TCP discovery IP finder, "Collocated" mode for SQL queries, support for (*) star notation in cache names, fix for SQL union support, and more.

Download Ignite 1.1.0

Release

Release

Apache Ignite 1.0.0 Released 

April 2, 2015

This new release includes dynamic caching functionality to start and stop caches during runtime, simplified Query API, automatic aggregation, grouping and sorting support for SQL Queries, Streaming examples, and more.

Download Ignite 1.0.0

Release

Release

Apache Ignite 1.0.0-RC3 Released 

March 24, 2015

This is the first release of Apache Ignite project. The source code in large part is based on the GridGain In-Memory Data Fabric, open source edition, v. 6.6.2, which was donated to Apache Software Foundation. The main feature set of Ignite In-Memory Data Fabric includes:

  • Advanced Clustering
  • Compute Grid
  • Data Grid
  • Service Grid
  • IGFS - Ignite File System
  • Distributed Data Structures
  • Distributed Messaging
  • Distributed Events
  • Streaming & CEP

Download Ignite 1.0.0-RC3

Interview

Interview

InfoQ Interview with Nikita Ivanov on Apache Ignite Incubation 

December 3, 2014

InfoQ caught up with Nikita Ivanov, CTO and founder of GridGain, about the In-Memory Computing framework becoming an Apache project, motivation behind this decision, and upcoming features and enhancements of GridGain.

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Interview

News

Apache Ignite Enters Incubation 

October 1, 2014

GridGain recently announced that the GridGain In-Memory Data Fabric has been accepted into the Apache Incubator program under the name "Apache Ignite." Earlier in 2014, GridGain was transformed to an open source model through Apache 2.0 license. Now, the product will be available under the Apache Foundation project portfolio.

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