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Datawatch Angoss Simplifies Data Science and Analytic Tasks on the Apache Spark Platform

By   /  November 15, 2018  /  No Comments

A recent press release reports, “Datawatch Corporation today announced the general availability of Datawatch Angoss KnowledgeSTUDIO for Apache Spark, enabling organizations to act more confidently with their data and rely on consistent, trustful results in making better business decisions. In combination with its market-leading data visualization approach for building, exploring and segmenting data using patented Decision Tree technology, Datawatch Angoss enables data science teams to create predictive analytic models using Apache Spark by means of a drag-and-drop / point-and-click interface.”

The release goes on, “Customers now have a clearer path to augment client and server-based analytics tool sets with a solution that is specifically built for Big Data solutions like Apache Spark. ‘Efficient model building and easy-to-understand visuals that Decision Trees bring to data science teams allows users to not only create analytic models to generate insights and predictions, but they can also manipulate, combine and profile data sources entirely within a Spark cluster,’ said Rami Chahine, Vice President, Product Management. ‘All while delivering the same workflow building experience that customers have come to value, with intuitive, interactive workflows and no need for coding.’ Data science teams that are modeling in a Big Data environment, and outside of it, can use Angoss KnowledgeSTUDIO for Apache Spark to efficiently build analytic workflows using large, small and wide datasets in a Spark environment. Datawatch Angoss market-leading decision tree interface can now be used by data scientists and business analysts, without having to move data out of Spark.”

Read more at Globe Newswire.

Image used under license from Shutterstock.com

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