GridGain technology evangelist Akmal Chaudhri will be the featured speak at the Metis: New York Data Science Meetup on Oct. 23. His talk is titled, "Apache® Ignite™: The In-Memory Hammer In Your Data Science Toolkit."

In this presentation we will look at some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.

Apache Ignite is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.

Ignite is a collection of independent, well-integrated, in-memory components geared to improve the performance and scalability of your application. Some of these components include: Advanced Clustering, Data Grid, SQL Grid, Streaming and CEP, Compute Grid, Service Grid, and the Ignite File System. Ignite also has integrations for accelerating data processing frameworks such as Hadoop and Spark.