How to Share State Across Multiple Spark Jobs using Apache Ignite™

Watch this deep-dive webinar to learn how to easily share state in-memory across multiple Spark jobs, either within the same application or between different Spark applications using an implementation of Spark RDD abstraction provided in Apache Ignite™.

In this one-hour webinar, Dmitriy Setrakyan, Apache Ignite Project Management Committee Chairman and co-founder and EVP of Engineering at GridGain, will explain 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, with its advanced in-memory indexing capabilities, allows execution of SQL queries many times faster than native Spark RDDs or Data Frames.