Metis: San Francisco Data Science Meetup
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.
About the speaker: Val Kulichenko is a software engineer, solution architect and distributed systems enthusiast. He is committer and PMC member of Apache Ignite project, his constant contributions are aimed to improve quality of the product and user experience for those working with it. At GridGain, he strives to help customers and partners with their technical challenges.