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Vertica 8 “Frontloader” Released

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Hewlett Packard Enterprise recently announced the release of the next version of Vertica: Frontloader (version 8). This new release includes advanced in-database machine learning as well as deployment support for Microsoft Azure.

Here’s a rundown of new features and changes in Vertica 8:

  • Advanced Analytics / Machine Learning Package is now included in the server install. This package includes several machine learning functions such as sampling, k-means and logistical regression modeling. Geospatial Analytics are also included int he installer and spatial data can now be transformed between SRID (spatial reference identifiers).
  • Directed Queries no support queries which invoke analytic functions as well as user-defined extensions.
  • Multiple Constraint Violations will now be reported before the rollback of a SQL statement.
  • Load support has been extended for the AUTO, DIRECT, and TRICKLE methods to two levels: table metadata and DML operations.
  • Apache Spark is now supported which allows for the transfer of Vertica Tables to Spark DataFrames and vice versa.
  • Management Console improvements include the ability to view history for Kafka and S3 jobs. Additional enhancements on charts and visualization for table utilization and extended monitoring.
  • Several Apache Kafka functions have been updated and new features added.
  • Vertica can now be deployed on Microsoft Azure through the Azure Marketplace.

View complete documentation online and new features.

Read more in the official press release.

About the author / 

Norbert Krupa

Norbert is the founder of vertica.tips and a Solutions Engineer at Talend. He is an HP Accredited Solutions Expert for Vertica Big Data Solutions. He has written the Vertica Diagnostic Queries which aim to cover monitoring, diagnostics and performance tuning. The views, opinions, and thoughts expressed here do not represent those of the user's employer.

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