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Building High-Performance Query and Analytic Applications


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By Robin Schumacher

There's no question that databases are the heart of nearly every application running these days. Moreover, the information stored in databases is now being routinely used as a competitive and operational business weapon by all businesses and organizations regardless of size or industry. Whether used internally in business intelligence applications or utilized externally via the exposure of data tools that let customers view and search through vast amounts of data on websites, data is being maximized in many different ways. Increasingly, the requirement to quickly search through, read, and mine large amounts of data is becoming a necessity. This being the case, IT staffs are being asked to focus on delivering query-based and analytic systems that are very high-performant, which is often not easy to do when progressively larger data volumes are combined with many concurrent users and stringent service level agreements that contain demanding response time requirements.

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