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Categories: AWS Hadoop Teradata

#Teradata today announced updates to its #AsterAnalytics solution that introduce new deployment options for the advanced analytics engine: Teradata Aster Analytics on #Hadoop and Teradata Aster Analytics on #Amazon Web Services ( #AWS ). The new options are part of a broader initiative by Terada to develop a Hybrid Cloud architecture that can support large volumes of data from the Internet of Things (IoT). “Teradata acquired Aster several years ago for its analytics capabilities,” says Arlene Zaima, senior global product marketing manager at Teradata Aster. “What it allows us to do is complement the existing analytics capabilities…[It] adds contexts to those analytics by identifying influencers—looking at a network of customers and finding out who influences the other customers, or a path to a purchase, because there may be a lot of different advertisements or promotions that influenced a customer.” Designed to expand the use and value of the Hadoop data lake, Aster Analytics on Hadoop makes Hadoop accessible to business analysts with SQL and R skills. The analytics platform runs natively in Hadoop, cutting down on costs, delays, and security risks by ensuring that users don’t need to move their data into an analytic server. Aster Analytics on Hadoop also features an AppCenter for users to build web-based interfaces.

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