In-Memory Computing Essentials for Java Developers and Architects

Join Virtual Java Group to be introduced to the fundamental capabilities of distributed, in-memory systems and will learn how to tap into your cluster’s resources:

Denis Magda will describe and demonstrate three essential capabilities of in-memory computing—with code samples based on Apache Ignite:

- Data partitioning: to use all of a cluster’s memory and CPU resources.
- Affinity co-location: to avoid data shuffling and use highly performant, distributed SQL queries
- Co-located processing: to perform compute and data-intensive calculations at high speeds straight on the cluster nodes

This is a virtual Meetup occurring at 5 PM UK time (GMT). Join the live broadcast on https://www.virtualjug.com

Speakers
Denis Magda
VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member
Biography

Denis Magda is an open-source software enthusiast who began his journey by working first with the technology evangelism group of Sun Microsystems and then with the Java engineering team of Oracle. During his years at Sun and Oracle, Denis became a seasoned Java professional, deepening and expanding his knowledge of the technology by contributing to the Java Development Kit, architecting Java solutions, and building local Java communities. Denis now continues his journey by supporting the Apache Software Foundation and working with GridGain Systems. For the foundation, he contributes to Apache Ignite as an Apache Ignite committer and a member of the Project Management Committee. As the head of the GridGain Developer Relations team, Denis works with software engineers and architects to help them develop their expertise in in-memory computing. You will find Denis at conferences, workshops, and other events sharing his knowledge about Apache Ignite, distributed systems, and open-source communities.  

 

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Europe/London