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ABSTRACT:

Data is now viewed as a corporate asset and a source for competitive advantage as enterprises are looking to make faster – yet smarter – business decisions. The resulting data volume growth is creating a need to optimize the performance and speed of business intelligence (BI) and analytics.

In-memory analytics is geared to solve many of the BI issues organizations face today such as integrating from SAP and other data sources. Using a combination of better multi core processing, advanced multi threading technologies, 64 bit architecture and cost/speed of memory, discover how organizations can achieve real-time analytics while reducing hardware costs.

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