Mastering Data Warehouse Aggregates: Solutions for Star Schema Performance by Christopher Adamson |
by Larissa T. Moss
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by Ralph Kimball
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The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin by Ralph Kimball |
by W. H. Inmon
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A functional data warehouse is vital to an organization's success, but building and maintaining any data warehouse is fraught with managerial and technical pitfalls. Impossible Data Warehouse Situations introduces possible solutions to ninety-one common crises that confront companies of all types, sizes, and structures. Nine leading data warehousing experts provide the thoughtful and detailed guidance corporate executives, IT managers and staff, and end-users need to prevent and survive seemingly impossible situations.
This book serves as a quick reference for resolving specific data warehouse problems and as a practical introduction to the realities of data warehousing not covered in basic texts. Part I addresses management issues, including weak organizational support, unrealistic schedules, and personnel problems. Part II focuses on technical challenges, such as security, integration, and performance. In both sections, Sid Adelman and his coauthors provide multiple perspectives and solutions illustrated by practical examples. Also included are recommendations for further reading and glossaries covering technical terminology and acronyms as well as colloquial English.
Drawing upon their combined 142 years of experience with data warehouse implementations, Sid Adelman, Joyce Bischoff, Jill Dyche, Douglas Hackney, Sean Ivoghli, Chuck Kelley, David Marco, Larissa Moss, and Clay Rehm offer invaluable advice on:
Readers gain access to data warehousing's top minds and learn how to thrive in seemingly impossible situations.
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