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YARN Ready: Using Spark to Integrate to YARN

Recorded on October 2nd, 2014

As the ratio of memory to processing power rapidly evolves, many within the Hadoop community are gravitating towards Apache Spark for fast, in-memory data processing. And with YARN, they use Spark for machine learning and data science use cases along side other workloads simultaneously.

This is a continuation of our YARN Ready Series, aimed at helping developers learn the different ways to integrate to YARN and Hadoop. Tools and applications that are YARN Ready have been verified to work within YARN. There are a few ways to integrate, one of which is natively. Others include Slider, Tez, Scalding, Spark and more. Ambari is for management.

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