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Enterprise Data Management in an 'In-Memory' World

Tactics for loading SAS® High-Performance Analytics Server and SAS® Visual Analytics

About this paper

Traditional data management strategies will not scale to effectively govern big data for high-performance analytics. As a result, many organizations are evolving their enterprise architectures to address specific business analytics needs. To quickly maximize return on investment from SAS® In-Memory Analytics products, it's important to devise and deploy appropriate information management strategies. This paper discusses tactics, best practices and architecture options associated with loading analytics-ready data required for SAS High-Performance Analytics Server or SAS Visual Analytics. By using a flexible data management approach to get the most out of your analytic data warehouse, you will be well prepared to address a multitude of evolving business, operational and technical requirements.

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  Igen, szeretnék alkalmi emaileket kapni a SAS Institute Inc.-től és leányvállalataitól a SAS termékeiről és szolgáltatásairól. Tudomásul veszem, hogy beleegyezésemet bármikor visszavonhatom az emailek Leiratkozás linkjére kattintva.

A személyes adatokat a SAS Adatvédelmi Nyilatkozatának megfelelően kezelünk.

 
 

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