Workshop: In-Memory Computing Essentials for Data Scientists

GridGain technology evangelist Akmal Chaudhri will host a hands-on workshop at Symbion in Copenhagen on March 27 titled, "In-Memory Computing Essentials for Data Scientists." Register here.

The Workshop:
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.

 The workshop is based on Java programming language. The attendees should be familiar with the language basics, be a data scientist or database expert. RSVP now to reserve your spot.

Speakers
Akmal B. Chaudhri
Technical Evangelist, GridGain Systems
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Workshop: In-Memory Computing Essentials for Data Scientists