HOFFMAN ESTATES, Ill.
Oct. 19, 2012
/PRNewswire/ -- Teradata (NYSE: TDC), the analytic data solutions company, announced today that Sears Holdings (NASDAQ: SHLD), has refreshed its existing Teradata analytic environment with the
Teradata Active Enterprise Data Warehouse Platform 6690
(Teradata Active EDW), which leverages both SSD and HDD storage.
Sears has also added the new
Teradata ADW Private Cloud
with Elastic Performance on Demand for on-demand business analytics. By having flexible data-crunching capacity on the Teradata Private Cloud, users can efficiently and economically address surges in business activity, driven by such events as the holiday shopping seasons, launch of marketing campaigns, unexpected high demand, or seasonal demand swings.
"The new Teradata multi-petabyte big data platform will help Sears lead customer based innovation through integrated retail and support our membership program,
Shop Your Way Rewards
, vice president of Information Analytics and Innovation at Sears Holdings. "By combining previously separated databases and data marts onto a single virtualized big data platform we eliminate the need to maintain multiple copies and data feeds, thereby reducing time to market as well as TCO."
Teradata is the first vendor to provide its customers with the optimized use of solid state drives (SSD) and hard disk drives (HDD), which is enabled by Teradata Virtual Storage™, its intelligent storage management software. The new hybrid storage-based platform meets a much broader range of customer analytic needs with expanded flexibility in the configuration and balance of SSD and HDD. The Teradata Active EDW supports robust strategic intelligence for long-range planning and reporting, and real-time operational intelligence for "front-line" employees.
, CTO Information Analytics and Innovation at Sears Holdings will be speaking and leading a session at the upcoming Teradata PARTNERS User Group event, titled
"Principles and Patterns in the Extreme Data & Analytics Ecosystem."
According to McIntire's abstract, his talk will explore how efficiency and agility in extreme data analytics do not fit the standard processes that data warehousing has followed for many years. The larger and more complex the environment, the more important guiding principles and architecture are to building infrastructure which can accelerate future unknown business with faster time to market.