Database speedup paper

July, 2009


This paper describes a methodology for improving database performance based on GridwiseTech’s extensive experience of dealing with the ever-increasing data demands. The author clearly explains how inefficient processing can lead to losses, and how can a well implemented IT enhancement project bring significant savings to a company. Using realistic examples, he describes several commonly used techniques for building reliable data architectures that are faster and more efficient.

Executive Summary

The report discusses several possible approaches and offers detailed commentary on the following solutions:

• Internal database optimization
• Database distribution/clustering
• In-memory databases
• In-memory caching techniques

Various combinations of these solutions have been applied according to the specific applications used and individual needs of our customers. In some cases, a proper implementation is able to accelerate database performance by up to 10 times.



 
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GridwiseTech is available for consulting engagements to help customers to make the right choices when experiencing problems inherent in effective data storage and processing.

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