The Enterprise Data Warehouse, v. 1 - Planning, Building and Implementation (Paperback)

Nuts-and-bolts data warehousing techniques that get the job done Finally, specifics This isnt a theory book: its an in-the-trenches, step-by-step guide to deploying data warehouses that align tightly with your business objectives. From Joint Application Development (JAD) techniques that maximize bang for the buck, to choosing the best hardware, software, and end-user access components, Eric Sperley delivers field-tested techniques you can rely on. Coverage includes: * Enterprise data modeling, including Transactional ER and Analytical Star approaches * Architecting the data warehouse: roles, tradeoffs, and compromises * Building metadata repositories that illuminate your data resources * Improving data quality - without breaking the bank * Sophisticated data mining: genetic algorithms, neural networks, clustering, decision trees, and beyond * Planning for scalability and easy updates Sperley delivers a practical, business-focused methodology thats flexible enough for any enterprise - and so detailed itll never leave you wondering what to do next. If your data warehouse must deliver sustainable competitive advantage, dont settle for anything less.