Presented by Dmitriy Setrakyan of GridGain at the Bay Area Hadoop Meetup in Sunnyvale, CA on August 17, 2016.

Apache Spark and Apache® Ignite are two of the most popular open source projects in high-performance Big Data and Fast Data. But did you know that one of the best ways to boost performance for your next-generation, real-time applications is to use them together?

In this session, Dmitriy Setrakyan, Apache Ignite Project Management Committee Chairman and co-founder and CPO at GridGain explains in detail how IgniteRDD—an implementation of native Spark RDD and DataFrame APIs—shares the state of the RDD across other Spark jobs, applications, and workers. Dmitriy will also demonstrate how IgniteRDD's advanced in-memory indexing capabilities allows the execution of SQL queries many times faster than native Spark RDDs or Data Frames. Don't miss this opportunity to learn from one of the experts how to use Spark and Ignite better together in your projects. 

Dmitriy Setrakyan, is a founder and CPO at GridGain Systems. Dmitriy has worked with distributed architectures for over 15 years and has expertise in the development of various middleware platforms, financial trading systems, CRM applications, and similar systems. Prior to GridGain, Dmitriy worked at eBay where he was responsible for the architecture of an add-serving system processing several billion hits a day. Currently, Dmitriy also acts as PMC chair of Apache Ignite project.

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