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Feb. 20, 2013 /PRNewswire/ -- Teradata (NYSE: TDC), the leading analytic data solutions company, today introduced
Teradata Aster Discovery Platform 5.10, the first and most comprehensive discovery solution with more than 20 new big data analytic capabilities, including purpose-built visualizations. Insights from these analytics can empower organizations to be more profitable by enhancing customer engagement and improving sales.
The Teradata Aster Discovery Platform reduces the difficulties associated with big data analytics. Now, customers can easily and seamlessly acquire, prepare, analyze, and visualize petabyte-sized volumes of multi-structured data in a single platform with a single structured query language (SQL) command. The Teradata Aster Discovery Platform provides users with out-of-the-box visual functions that make it faster and easier to build big data analytic applications and unlock hidden insights.
"Existing and aspiring data scientists should take note. 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."
For organizations seeking value from big diverse data, the Teradata Aster Discovery Platform offers an enterprise-friendly, ready-to-deploy suite of integrated hardware, software, and best-of-breed partner solutions. Its open platform approach leverages enterprise business intelligence (BI), data integration, analytics, and visualization tools. The Teradata Aster Discovery Platform is easy to use by any SQL-savvy analyst or business user, and it is powerful and flexible enough for the most sophisticated data scientists.
The challenges facing businesses desperately needing the insights from big diverse data are daunting. Many businesses remain focused on the storage and management of multi-structured data, or have multiple disconnected, dis-functional technologies, or don't have skilled employees and resources to start a big data analytics initiative.