In-Database Analytics:
The Heart of the Predictive Enterprise
 
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"With in-database analytics, enterprises migrate their predictive analysis (PA), data mining (DM), and other compute-intensive analytic functions from separate, standalone applications to execute in the enterprise data warehouse (EDW). Doing so allows IT professionals to leverage the EDWs full parallel-processing, scalability, and optimization features. In-database analytics can help enterprises cut costs, speed development, and tighten governance on advanced analytics initiatives."
  "In-Database Analytics:
The Heart of the Predictive Enterprise"

Forrester Research, Inc.,
Nov. 12, 2009

Register for this Forrester Research report, compliments of Aster Data, to learn about:
Scalability issues often faced by traditional advanced analytics
New twists in traditional in-database analytics practices
The evolution of the EDW for in-database analytics
 
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