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SQL Server Big Data Clusters – What’s New in CU13

CU13 brought some exciting new capabilities and important changes for SQL Server Big Data Clusters.

In brief, these were:

  • Hadoop Distributed File System (HDFS) distributed copy capabilities through azdata
  • Enable Advanced Encryption Standard (AES) Optional parameter on the automatically generated AD accounts
  • Password rotation for Big Data Cluster’s auto-generated Active Directory service accounts during BDC deployment
  • Apache Spark 3.1.2
  • SQL Server Big Data Clusters runtime for Apache Spark release 2021.1

You can find out more about each of these capabilities and changes here: What’s new with SQL Server Big Data Clusters—CU13 Release – Microsoft SQL Server Blog

More About SQL Server Big Data Clusters

Released in 2019 as part of SQL Server 2019, SQL Server Big Data Clusters was the expansion SQL Server needed to allow it to embrace unstructured big data, relational data and scale-out compute.

Looking closely, you find that it is made up of a SQL Server database engine, Spark and Hadoop Distributed File System running on Kubernetes. As these all work together in a unified way, it enables you to read, write and process big data from Spark or T-SQL.

Post Terms: Big data | SQ Server Big Data Clusters | SQL Server | SQP Server 2019

About the Author

Marketing Manager, Leah Monterroso, has been writing blogs and articles for the last six years. Since working with Ballard Chalmers, she has immersed herself in Microsoft tech news and bringing value to clients and the wider community through content.

You can find Leah online at:

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