GridGain In-Memory Computing Videos

Learn About GridGain® and Apache® Ignite

Bay Area Hadoop Meetup - Better Together: Fast Data with Apache Spark™ and Apache Ignite™
Presented by Dmitriy Setrakyan of GridGain at the Bay Area Hadoop Meetup in Sunnyvale, CA on August 17, 2016.
Apache Ignite In-Memory Data Fabric for .NET
This presentation provides a deep dive into .NET features of the top level Apache projects: Apache Ignite. Apache Ignite is the in-memory data fabric that combines in-memory cluster & computing, in-memory data grid and in-memory streaming under one umbrella of a fabric.
How to Use Apache Ignite, In-Memory Data Fabric
This talk was presented at the "SQL NYC, the NoSQL and NewSQL Database Meetup." It provides a deep dive into Apache Ignite, a top-level Apache project.
Shared In-Memory RDDs - Missing Link in Spark
Speaker: Nikita Ivanov, Founder and CTO GridGain Systems In this talk I'll present the SharedRDD - a high-performance in-memory caching layer for Spark jobs. We'll work through 1) design & architecture of this component, 2) configuration and 3) actual Java and Scala usage examples.
Case Study - GridGain for Sberbank Architecture in Financial Services
Speakers: Dmitriy Setrakyan, Founder and Chief Product Officer, GridGain and Mikhail Khasin, Senior Managing Director & Head of Core banking Transformation Program, Sberbank
Introduction to the In-Memory Data Fabric
GridGain CTO Nikita Ivanov gives a brief introduction to the GridGain In-Memory Data Fabric at the O'Reilly Strata+Hadoop World conference. He provides a brief history of the development of the product along with a high-level description of how the In-Memory Data Fabric accelerates and scales applications across distributed systems regardless of data sources or platform.
Introducing Apache® Ignite™
In this live presentation at a Meetup in London Christos Erotocritou, Solutions Architect at GridGain provides an introduction to Apache Ignite™ to Java developers. During this session you’ll learn about the Apache Ignite project and how it is used to solve some of the most demanding scalability and performance challenges.
Choosing the Right In-Memory Solution
Nikita Ivanov, GridGain co-founder and CTO, provides insight on choosing the best in-memory solution for your apps in a recent Meetup in the Bay Area. He discusses different types of in-memory systems, including RDBMS in-memory options, in-memory databases, data grids and data fabrics, while taking several questions from the audience.
Dr. Konstantin Boudnik, co-founder and CEO of Memcore (, will start with a brief overview of Apache Ignite and Apache Bigtop projects for those who are new to them. He will then conduct a live demo of complex analytic with new Memcore cloud platform, utilizing Apache Ignite in-memory accelerator.
Apache Ignite – In-Memory Data Fabric
In this live presentation at a Bay Area Meetup Dmitriy Setrakyan, Co-founder and EVP of Engineering at GridGain and Chairman of the Apache Ignite™ PMC talks about the advanced SQL capabilities of Apache Ignite, including support for distributed joins, custom SQL functions, and others.
In-Memory Computing Summit 2015 Highlights
The In-Memory Computing Summit 2015 is the first and only industry-wide event of its kind, tailored to in-memory computing related technologies and solutions. Check out the highlights from last year’s event.
IN Memory Data Grid
This is a 40-minute sessions by Dmitriy Setrakyan, GridGain Systems EVP Engineering and Project Committee Member for Apache Ignite™ delivered at the In-Memory Computing Summit in June 2015.
In-Memory Computing Summit Session: From Big Data to Fast Data
This is a general session delivered by Nikita Ivanov, GridGain Systems CTO and Project Committee Member for Apache Ignite™ delivered at the In-Memory Computing Summit in June 2015.
Abe Kleinfeld, CEO of GridGain at OnCloud 2015
GridGain CEO, Abe Kleinfeld delivers an address at the 2015 AlwaysOn Network’s OnCloud 2015 event.
Introducing Apache Ignite – Part 1
Part 1 of Dmitriy Setrakyan’s introduction of the Apache Ignite™ In-Memory Data Fabric shortly after the initial release.