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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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SAS helps 70,000 organisations around the world take their data… And do amazing things… We help organisations turn large amounts of data into knowledge they can use, and we do it better than anyone. It’s no wonder an overwhelming majority of customers continue to use SAS year after year. Find out more, Why SAS?

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