Join us on Wednesday, February 3, 2016 at 11:00 AM PDT / 2:00 PM EDT for another 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.
Don't miss this opportunity to learn how these two widely popular Apache projects — Spark and Ignite — can be used together to provide more power and flexibility to developers and software architects who are building the next generation of Big Data/Fast Data applications.
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.
Don't miss this opportunity to learn how these two widely popular Apache projects — Spark and Ignite — can be used together to provide more power and flexibility to developers and software architects who are building the next generation of Big Data/Fast Data applications.