Upcoming Polybase Enhancements

James Serra knows how to get my interest:

Polybase was first made available in Analytics Platform System in March 2013, and then in SQL Server 2016.  The announcement at the PASS Summit was that by preview early next year, in addition to Hadoop and Azure blob storage, PolyBase will support Teradata, Oracle, SQL Server, and MongoDB in SQL Server 2016.  And the Azure Data Lake Store will be supported in Azure SQL Data Warehouse PolyBase.

With SQL Server 2016, you can create a cluster of SQL Server instances to process large data sets from external data sources in a scale-out fashion for better query performance (see PolyBase scale-out groups):

I’m excited for the future of Polybase and looking forward to vNext and vNext + 1 (for the stuff which they can’t possibly get done in time for vNext).

Related Posts

What’s New In Ambari 2.7

Paul Codding and Kat Petre share some of the new features in Ambari 2.7: With this release, we wanted to make Ambari more enjoyable to use every day, simplify finding and using our API, and unblock teams managing very large clusters.  Here is a preview of a few features we’re excited to share with you:Revamped […]

Read More

Working With Images In Spark 2.4

Tomas Nykodym and Weichen Xu give us an update on working with images in the most recent version of Apache Spark: An image data source addresses many of these problems by providing the standard representation you can code against and abstracts from the details of a particular image representation.Apache Spark 2.3 provided the ImageSchema.readImages API (see Microsoft’s post […]

Read More

Categories

November 2016
MTWTFSS
« Oct Dec »
 123456
78910111213
14151617181920
21222324252627
282930