In-Memory Computing Essentials for Java Developers and Architects with Java.IL

Join the biggest Israeli Java Users Meetup on November 30 as Denis Maga describes and demonstrates 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 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

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

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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