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Tag: SLA

Unraveling Hadoop and Spark Performance Mysteries

Sep 13, 2016 |

What do you do when your Spark or Hive job runs like molasses? If you’re like most end-users who lack in-depth technical skills, the answer is “not much.” Now a startup named Unravel Data is working to show you what’s actually going on in the cluster, and provide some configuration recommendations and automatic fixes as well. Read more…

Overcoming Spark Performance Challenges in Enterprise Hadoop Environments

Mar 22, 2016 |

Interest in Apache Spark is ballooning as word spreads about the real advantages it brings to the world of big data analytics. But like most new technologies, adopting Spark is not always smooth sailing–particularly if you’re running Spark jobs on a production Hadoop cluster. Read more…

Enforcing Hadoop SLAs in a Big YARN World

Jul 23, 2014 |

The Apache Hadoop community has done a truly amazing job developing a scalable and versatile platform for big data analytic workloads. And with the recent introduction of YARN in Hadoop 2, we’re now able to run multiple analytic engines on our clusters simultaneously. Read more…

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