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Shared In-Memory RDDs [Video]

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Shared In-Memory RDDs [Video]

Using Spark SharedRDDs using Apache Ignite to improve Spark job performance with full walk through of configuration and usage.

· Big Data Zone
Free Resource

Access NoSQL and Big Data through SQL using standard drivers (ODBC, JDBC, ADO.NET). Free Download 

Speaker: Nikita Ivanov, Founder and CTO GridGain Systems

In this talk I’ll present the SharedRDD – a high-performance in-memory caching layer for Spark jobs. We’ll work through 1) design and architecture of this component, 2) configuration, and 3) actual Java and Scala usage examples.


The fastest databases need the fastest drivers - learn how you can leverage CData Drivers for high performance NoSQL & Big Data Access.

Topics:
in-memory data ,spark ,java ,ignite ,scala

Published at DZone with permission of Nikita Ivanov, DZone MVB. See the original article here.

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