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Data Warehouse

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1. The Case Against Data Warehousing
This page discusses the disadvantages of data warehousing.
http://www.dwinfocenter.org/against.html
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2. Data Warehouse Metrics
Meaningful Measurements Are Key When Comparing Data Warehouses. Everything has metrics. Roads have speed limits. People have a weight. Cars have a tachometer. Days have temperatures.
http://www.b-eye-network.com/view/480
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3. Data Warehousing Political Issues
This pages describes political issues commonly encountered in data warehousing projects.
http://www.dwinfocenter.org/politics.html
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4. A Definition of Data Warehousing
This page provides a definition of data warehousing.
http://www.dwinfocenter.org/defined.html
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5. Data Warehousing Gotchas
This page discusses common gotchas, mistakes, pitfalls in data warehousing projects.
http://www.dwinfocenter.org/gotchas.html
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6. Data Warehouses for Medium-Sized Companies
Can a Medium-Sized Company Afford a Data Warehouse? What is the Business Case? Historically, Data Warehouse efforts have been pursued by Fortune 1000 companies. These are large organizations with vast resources and with leading-edge technical savvy at the ready.
http://www.b-eye-network.com/view/302
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7. Getting Started with Data Warehousing
This page describes how a beginner to data warehousing might get started learning about the topic.
http://www.dwinfocenter.org/getstart.html
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8. Measuring the value of BI and DW Initiatives
Understanding and quantifying each initiative's cost and benefits is necessary to make an informed decision. Business Intelligence and Data Warehousing are no exception to this rule, although many organizations have been reluctant quantifying their value
http://www.b-eye-network.com/view/370
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9. Data Warehousing: Building the Foundation
New and Powerful Tools will help load and refine information, but you must still develop a strategy to build the optimal data warehouse to use them.
http://www.b-eye-network.com/view/208
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10. "Competing on Analytics" by Professor Thomas H. Davenport.
Ask more. Learn more. Do more with your data! Many of our customers, including Amazon.com, Capital One, Cingular Wireless, Neiman Marcus and others, leverage their data to a competitive advantage. Visionary companies have built their businesses on their ability to collect, analyze and act on data. Learn more. Read "Competing on Analytics" by Professor Thomas H. Davenport.
http://www.netezza.com/netezza58/page.cfm
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