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Alteryx Alters Data Science with New Release

By   /  March 9, 2018  /  No Comments

by Angela Guess

According to a recent press release, “Alteryx, Inc., revolutionizing business through data science and analytics, today announced the general availability of Alteryx Promote, a component of the Alteryx Analytics platform that allows both data scientists and citizen data scientists to deploy predictive models directly into business applications through an API, and then manage and monitor performance over time. It is the result of the company’s acquisition of Yhat, a Brooklyn-based data science company, announced in June 2017. The general availability of Alteryx Promote is part of 2018.1, the latest release of the company’s modern end-to-end platform that is altering analytics in the enterprise. The enhanced products with this release provide the analytic flexibility that data scientists and business analysts need to discover, prep and blend from more data sources, and easily operationalize analytic models through a collaborative and governed platform.”

The release notes, “New features include: (1) Quickly gain access to the right data at the right time in a governed manner with Alteryx Connect — New loaders enable direct access to metadata stored in DB2, HDFS and SAP HANA, and data analysts can now find assets based on popularity, create additional descriptions, and launch Connect assets directly in Alteryx Designer. (2) Harness the full value of existing and emerging data assets with Alteryx Designer — The release introduces new data connectors for AWS Athena and Redshift Spectrum, additional support for Tableau Hyper, a direct connection to Apache Spark, and enhanced filter tools. (3) Easily deploy and manage predictive models into production with Alteryx Promote — Data scientists and citizen data scientists can deploy models built in Alteryx, R, or Python into production models in both a code-free and code-friendly manner. Alteryx Promote makes it easier to manage analytic models from development to production, and monitor model performance and health to understand effectiveness and business impact.”

Read more at Alteryx.

Photo credit: Alteryx

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