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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 EDW’s full parallel-processing, scalability, and optimization features. In-database analytics can help enterprises cut costs, speed development, and tighten governance on advanced analytics initiatives. Business process and applications (BP&A) professionals should implement in-database analytics in conjunction with
ongoing efforts to consolidate and scale their EDW."

 
– James Kobielus, Senior Analyst
Forrester Research
Register for this complimentary Forrester Research report on behalf of Aster Data to learn about:
New twists in traditional in-database analytics practices
Scalability issues faced by traditional advanced analytics
How to push advanced analytics deeply into the data warehouse
 
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