Valentin (Val) Kulichenko, lead architect at GridGain Systems, will be leading a hands-on workshop at the Metis: San Francisco Data Science Meetup on August. 22 from 6-8 p.m.

The title of the workshop is: In-Memory Computing Essentials for Data Scientists

This two-hour workshop is a must-attend event for all data scientists!  

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

This workshop will be lead by Valentin (Val) Kulichenko, lead architect at GridGain Systems.