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