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What’s new in Cloudera Director 2.8?

Cloudera Director 2.8 introduces a simpler way to create clusters in AWS or Microsoft Azure that requires less information to get started than the standard procedure. A new configuration export capability enables retrieval of a client configuration file for any cluster as a starting point to create new clusters.

Cloudera Director helps you deploy, scale, and manage Cloudera clusters in AWS, Microsoft Azure, or Google Cloud Platform.

In other news

New in Cloudera 5.15: Simplifying the end user Data Catalog for the Self Service Analytic Database

With the recent release of Cloudera 5.15, we continued to improve the query experience with Hue. Read on to learn more about the improvements in this new release and try it out with one-click at demo.gethue.com.

Deploy Cloudera EDH Clusters Like a Boss Revamped – Part 3: Cloud Considerations

The previous two sections have concentrated on infrastructure considerations and services and role layouts for categories of workloads.  This section will concentrate predominantly on those considerations that apply to cloud deployments only.

YARN FairScheduler Preemption Deep Dive

In this post we discuss technical details around how FairScheduler Preemption works and best practices to consider when configuring it.

Training

Check out Blended Learning, the new delivery mode available from Cloudera University. Cloudera University Blended Learning combines the flexibility of self-paced learning with the benefits of live instructor-led sessions. Each course will include lessons and hands-on lab exercises that the student can complete at their own convenience. In addition, each course has weekly instructor-led sessions where students engage with a Cloudera instructor to review the content, walk through the exercises, and participate in open Q&A.  Check here for more details.

Exclusive promotion

Join other Spark developers and apply big data technologies to architecting and designing a big data application - combining IoT, streaming, near-real-time processing, analytics, and machine learning at scale. And, for a limited time only, get $1000 off the standard price if you register by July 30th, 2018.

Upcoming training:

  • July 10-13, Developer for Spark and Hadoop, Virtual

  • July 24-27, Developer for Spark and Hadoop, Dulles

  • July 30-August 27,  Developer for Spark and Hadoop, New Blended Learning

  • July 31-August 3, Data Scientist, Virtual

  • July 31-August 2, Search, Virtual

  • August 14-17, Developer for Spark and Hadoop, Virtual

View more

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