GridGain technology evangelist Akmal Chaudhri will be one of the featured speakers at the Oct. 24 gathering of the Future of Data: New York Meetup. His talk is titled, "Best practices for stream ingestion, processing and analytics using in-memory computing."

This talk will feature Apache Ignite, an open source memory-centric distributed database, caching, and processing platform used for transactional, analytical and streaming workloads -- delivering in-memory speeds at petabyte scale. https://ignite.apache.org

In this talk, Akmal Chaudhri will share the best practices used for real-time stream ingestion, processing and analytics using Apache Ignite, Apache Kafka, Apache Spark and other technologies.

Akmal, will explain how to:
* Optimize stream ingestion from Kafka and other popular messaging and streaming technologies
* Architect pre-processing and analytics for performance and scalability
* Implement and tune Apache Ignite and Spark together
* Design to ensure performance for real-time reports.

By the end of Akmal's talk, attendees will understand best practices for stream ingestion, processing and analytics using in-memory computing.

The second speaker is Gabriel Jimenez, an infrastructure developer at Bloomberg. His talk is titled, "Introducing Big-SQL: Apache Ignite + Apache Phoenix on Spring Boot."

Summary: Apache Phoenix combines standard SQL and JDBC APIs with the scalability of HBase’s NoSQL data store to provide the best of both worlds.