Business intelligence: mastering masses of data with machine learning

Published by: MRT

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Business intelligence: mastering masses of data with machine learning

According to the manufacturer, the Vertica 11 analytics platform brings some improvements and enhancements compared to version 10, which was presented in spring 2020. Vertica is aimed at companies that use processes such as machine learning and self-service to access their data silos distributed across various clouds and regions. Want to facilitate container workflows. According to the manufacturer, users should be able to choose from various deployment options with improved automation functions.

According to the manufacturer, the innovations in Vertica 11 include the expansion of machine learning and graphic capabilities. An Apache Spark connector for Spark 3.0 and Scala 2.12 should bring a significantly improved throughput. Vertica is now officially suitable for blob storage in Microsoft’s Azure cloud, which companies use for large amounts of data. Vertica 11 also includes stored procedures that make it easier to automate database applications.

Many more Details zu Vertica 11 can be found at the parent company Micro Focus. Vertica, founded in 2005, was taken over by Hewlett-Packard in 2011 and came under the umbrella of Micro Focus in 2017 as part of the software division of Hewlett Packard Enterprise (HPE).

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