A systematic guide which cuts through the hype, briefing managers on exactly what to expect building, piloting, deploying, and maintaining a data warehouse. Topics include the unique issues surrounding OLAP applications; comparisons of data warehouses and data marts; planning goals, architecture, infrastructure, platforms and tools; building the data model and the physical model; optimizing performance, security, and end-user access; and maximizing data integrity. The authors include specific guidance for every critical decision, including hardware platforms, operating systems, database tools and applications. Annotation c. by Book News, Inc., Portland, Or.
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DON MEYER is President of Don Meyer & Associates, a consultancy that works with top firms such as MCI, Citibank and Southland. He advises clients on all aspects of data warehousing; database, UNIX and network administration; and client/server technology.
CASEY CANNON is a member of the IBM RS/6000 Division technical team focusing on electronic commerce, collaboration, content and ISPs in the network computing space. Her computing books include Simply AIX (Prentice Hall PTR).
Just do it! Cut through the hype and get that data warehouse deployed!
Based on Meyer and Cannon's extensive practical experience Building a Better Data Warehouse is a systematic guide to successful data warehouse deployment. It cuts through the hype, briefing managers on exactly what to expect building, piloting, deploying and maintaining a data warehouse. You'll learn how to take control of the process from start to finish-and discover the key success factors associated with data warehouses that deliver real business benefits.
Meyer and Cannon pull no punches. They offer specific guidance for every critical decision, including hardware platforms, operating systems, databases tools and applications. They also provide comprehensive advice for both data modelers and DBAs, including proven techniques for completing data model deliverables and constructing the data warehouse. Building a Better Data Warehouse covers metadata, extraction programming, populating the data warehouse, end-user access tools, training, and much more. It's the one book every member of your data warehouse team should read.
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