Data Warehouse, Data Mart, Data Mining,
Data Warehousing is a proven method for collecting, storing, and delivering decision support data for an enterprise. To help you better understand data warehousing, these topics are presented:
The Data Warehouse Toolkit website provides helpful information for those seeking to profit by the use of data warehousing and business intelligence. Valuable articles describe how to build the data warehouse team as well as what mistakes to avoid. Industry leaders including Ralph Kimball, William H. Inmon and Claudia Imhoff are profiled.
Data Warehouse Toolkit
To be successful, the data warehouse must meet the requirements of the business. The Data Warehousing Business Requirements Tutorial describes how to gather business requirements that are aligned with enterprise goals and objectives. This methodology will show you how to produce more effective results, increase productivity, improve team work and lower development costs.
What is the best way to organize a data warehousing and business intelligence project? Following a sound methodology will help you to make the right moves and avoid pitfalls.
From setting project goals and objectives to creating the data warehouse to training
the team, this step by step approach is a proven path.
What are the right Business Intelligence tools to use for your data warehouse? This tutorial provides insight into these tools and their uses:
Data Warehousing, Decision Support, Middleware, Data Access, ...
This listing is provided as information only and does not constitute an endorsement by the webmaster. It is your responsibility to check out suppliers thoroughly. Trademarks and Service Marks are the property of their respective companies.
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