Mahout on Spark: What's New in Recommenders--Part 2 | MapR

Mahout on Spark: What’s New in Recommenders—Part 2 | MapR

Posted on December 16, 2014 by Nitin Bandugula As one of the most popular tools in the Apache Hadoop ecosystem, there’s been a lot of noise made about Apache Spark – and for good reason. It complements the existing Hadoop ecosystem by adding easy-to-use APIs and data-pipelining capabilities to Hadoop data, and the project support continues to grow. Since its launch in 2010, Spark has seen over 400 contributors from more than 50 different companies. Posted on December 16, 2014 by Na Yang Nearly one year ago the Hadoop community began to embrace Apache Spark as a powerful batch processing engine. Today, many organizations and projects are augmenting their Hadoop capabilities with Spark. As part of this trend, the Apache Hive community is working to add Spark as an execution engine for Hive. The Hive-on-Spark work is being tracked by HIVE-7292 which is one of the most popular JIRAs in the Hadoop ecosystem. Furthermore, three weeks ago,

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