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.
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.
About the speaker:
Akmal Chaudhri is GridGain’s Technology Evangelist. His role is to help build the global Apache Ignite community and raise awareness through presentations and technical writing. Akmal has over 25 years experience in IT and has previously held roles as a developer, consultant, product strategist and technical trainer. He has worked for several blue-chip companies such as Reuters and IBM, and also the Big Data startups Hortonworks (Hadoop) and DataStax (Cassandra NoSQL Database)