
In-Database Analytics extensions in version 7.6 include full support for all Decision Tree and Strategy Tree functionality in-database, including scoring and model validation. Enterprises can now score and validate predictive models using extremely large datasets and numbers of predictive variables within the database. The In-Database Analytics module has been extensively tested and optimized for use with Teradata®, Microsoft® SQL Server and Netezza™ databases.
"Angoss KnowledgeSEEKER and KnowledgeSTUDIO complement and extend Teradata's Integrated Analytics portfolio with new in-database capabilities for the business community," said Chris Twogood, Director of Product and Services Marketing, Teradata Corporation. "Decision Trees and Strategy Trees can be rapidly built directly on data stored in Teradata and then put into action by performing In-Database scoring using those models. Complete end-to-end modeling and scoring is enabled without data ever leaving the data warehouse."
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