Remove fair-scheduler-to-capacity-scheduler-conversion-tool
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Upgrade Journey: The Path from CDH to CDP Private Cloud

Cloudera

Sentry to Ranger migration tools. Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. New Features CDH to CDP. Query Result Cache.

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Fine-Tune Fair to Capacity Scheduler in Weight Mode

Cloudera

As part of that unification process, Cloudera merged the YARN Scheduler functionality from the legacy platforms, creating a Capacity Scheduler that better services all customers. In merging this scheduler functionality, Cloudera significantly reduced the time and effort to migrate from CDH and HDP.

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Fine-Tune Fair to Capacity Scheduler in Relative Mode

Cloudera

CDH users would have used Fair Scheduler (FS), and HDP users would have used Capacity Scheduler (CS). After thoroughly analyzing the YARN schedulers available in the legacy platforms, Cloudera chose Capacity Scheduler as the supported YARN scheduler for CDP.

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What’s new in CDP Private Cloud Base 7.1.6?

Cloudera

to CDP Private Cloud Base with enhancements to automated tools to easily transition from Ambari to Cloudera Manager. . Improved Fair Scheduler to Capacity Scheduler conversion with an enhanced tool that handles more complex placement rules. . In this blog we will cover the new features in the 7.1.6

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Getting started with Spark and batch processing frameworks

Insight

Spark is not always the right tool to use Spark is not magic, and using it will not automatically speed up data processing. If Spark isn’t always the first right tool to use, what is? When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program.