Better Together: Fast Data with Apache Spark and Apache Ignite
Want the presentation slides? Register here: http://bit.ly/2bRtrhQ
Apache Spark and Apache Ignite are two powerful solutions for high-performance Big Data and Fast Data. Using Spark and Ignite together is an easy way to boost performance by orders of magnitude for your next generation real-time applications. With Spark plus Ignite, you can share state across Spark jobs, applications, and workers and your Spark queries will also run much faster.
In this session, Dmitriy Setrakyan, Chief Product Officer and Co-Founder of GridGain, and Chairman of the Apache Ignite Project Committee, will explain in detail how IgniteRDD — an implementation of native Spark RDD and DataFrame APIs — shares RDD state across Spark jobs, applications and workers. He will demonstrate how IgniteRDD, with its advanced in-memory indexing capabilities, allows execution of SQL queries much faster than native Spark RDDs or Data Frames. He will also discuss the additional features available in GridGain, which is built on Apache Ignite, that provide enhanced performance in mission-critical production use cases.
Register now to learn from an expert how to use Spark and GridGain/Ignite together to dramatically enhance your Big Data applications.