In-Memory Computing Essentials for Data Scientists
In-Memory Computing Essentials for Data Scientists


"Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost high-loaded applications, research projects, risk analysis and fraud detections tasks by storing and processing massive amount 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.

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.

The workshop is based on Java programming language. The attendees should be familiar with the language basics.


Denis Magda is a Director of Product Management at GridGain Systems and Apache Ignite PMC Chair. He is an expert in distributed systems and platforms. Before joining GridGain and becoming a part of Apache Ignite community, he worked for Oracle where he led the Java ME Embedded Porting Team - helping Java open cross new boundaries by entering the IoT market.

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