Teradata Enhances Big Data Analytics Platform

Teradata (TDC) introduced Teradata Aster Discovery Platform 5.10, a comprehensive discovery solution with more than 20 new big data analytic capabilities, including purpose-built visualizations.

Teradata is a leading analytic data solutions company focused on integrated data warehousing, big data analytics, and business applications that provide actionable business intelligence.

Insights from the discovery platform analytics can empower organizations to be more profitable by enhancing customer engagement and improving sales.

“The Teradata Aster Discovery Platform is full of new capabilities that can empower them to accelerate their innovation and supply new options to their business users,” said Scott Gnau, president, Teradata Labs. “It is Teradata’s goal to be our customers’ trusted partner in building a Unified Data Architecture, which includes a powerful set of big data solutions. The result is effective deployment of transformational technology that drives tangible results.”

New technical enhancements to the Aster Disaster Recovery Platform include Visual SQL-MapReduce functions, that generate sophisticated purpose-built data visualizations coupled with other Aster SQL-MapReduce analytical functions generated inside the database. It also features in-database ‘R’ execution capability, support for in-database PMML execution via Zementis, in-database integration of Attensity capabilities and manufacturing and financial services industry analytics.

“With newly added analytics and visualization functionality, the Teradata Aster Discovery Platform offers the convenience of a ‘data scientist in a box,’” said Dan Vesset, program vice president of business analytics and big data, IDC. “Much of the market attention has been on vendors trying to build SQL engines on Hadoop. Teradata Aster Discovery Platform already provides an ANSI SQL-compliant method with its SQL-MapReduce framework to acquire, prepare, analyze, and visualize data from any data source including Hadoop. Without the need to integrate multiple point solutions, customers using this Teradata technology are able to accelerate the discovery process and visualize information in new and exciting ways, and to focus the scarce expertise of data scientists on highest value- added tasks.”

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About the Author

John Rath is a veteran IT professional and regular contributor at Data Center Knowledge. He has served many roles in the data center, including support, system administration, web development and facility management.

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