The organizers of the Amsterdam Kubernetes/Cloud-Native Meetup are trying something new!
GridGain's technical evangelist Akmal Chaudhri will give a talk followed by a hands-on workshop titled, "In-Memory Computing Essentials." The workshop will be based in Java.
Abstract: 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.
Akmal Chaudhri, PhD., 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).
Technical Evangelist, GridGain Systems