Tableau Software, the leading analytics platform, announced the general availability of Tableau 2020.3, which delivers the ability for customers to output to and update external databases directly from Tableau Prep Builder, expanding the Tableau platform to serve a broader set of data preparation needs. The latest release also includes new tools for Tableau administrators to simplify the distribution of product licenses to various groups in their organization. Customers can instantly access these features, as well as new integrations with leading database providers, by upgrading to Tableau 2020.3.
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“The new capabilities in Tableau 2020.3 continue to extend the breadth and depth of the entire Tableau platform, helping customers to easily scale their analytics further than ever before,” said Francois Ajenstat, chief product officer at Tableau Software. “By introducing the ability to write to an external database, Tableau Prep can now be used for analytics use cases outside of the Tableau platform, from data science to data governance.”
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Data Preparation Beyond Tableau
With the introduction of the new Write to Database feature in Tableau Prep Builder, customers are now able to make their data preparation process more governed and scalable, as well as more deeply integrated with the rest of an organization’s IT infrastructure. Customers can store cleaned and prepared data from Tableau Prep Builder in a on-premises or cloud-based database to ensure organizational governance while still making the data immediately available for analysis in Tableau. By storing the data in a database, the same clean datasets can be leveraged by any other application connected to that database, including advanced machine learning or data mining applications. This new tool utilizes the drag-and-drop, visual experience that Tableau customers know and love, and makes it simple for anyone to publish a data flow to their database without complex coding or third-party tools. Customers who also use Tableau Data Management will be able to automatically add their outputs to their Tableau Catalog, where they can track lineage and impact, add metadata, and add data quality warnings. These tables are then searchable in Tableau, making it simple to deploy clean data across the whole organization.
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