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Information, tips, tricks and sample code for Big Data Warehousing in an autonomous, cloud-driven world

Big Data Appliance 5.1 Now Available

Martin Gubar
Director Product Management

We are excited to announce that Oracle Big Data Appliance 5.1 is now publicly available.  This is a massive release with major new features across the stack.  It is based on Cloudera Enterprise 6.2.1 and Oracle NoSQL Database 19.3.2 - allowing our customers to take advantage of the latest Apache Hadoop, Spark, Hive and other core Hadoop and Cloudera Enterprise Data Hub features.  

Here are key details about the release.

  • Based on Cloudera Enterprise Data Hub (6.2.1)
  • Provides an optimized Spark configuration that has shown 50% to 70x performance gains on Oracle Global Leaders’ customer workloads
  • Includes automated installation of Big Data SQL 4.0
  • In-Place Procedure for Migrating Oracle Linux 6 Clusters to Oracle Linux 7
  • Improved security out of the box
  • Support for all Cloudera advanced security options

 

Happy installs and upgrades!

Join the discussion

Comments ( 2 )
  • Syed Murtaza Saleem Tuesday, December 3, 2019
    Dear Martin,

    so what about the customers who have BDA appliance version 4.X with cloudera 5.x?

    will they be able to upgrade to cloudera 6.x? and new versions of of Oracle BIG SQL + integrated SW?

    will they also be able to upgrade to the upcoming version of cloudera which will be the merged one of Horton works and cloudera?

    if Yes, then when?

    and if not then what are the available options for them
  • Marty Gubar Tuesday, December 3, 2019
    Hi Syed!
    Mammoth cluster upgrades to v5.1.0 are supported directly from BDA Mammoth v4.12.0 or later. For upgrades from earlier BDA Mammoth versions, it will be necessary to first upgrade to BDA Mammoth v4.12.0. The latest Big Data SQL is included with BDA.

    The merged Cloudera/HDP is called CDP - and there are different editions. We are working with Cloudera now to define the best path forward for BDA customers.

    Thanks!
    Marty
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