Data Warehousing 101: Concepts and Implementation will appeal to those planning data warehouse projects, senior executives, project managers, and project implementation team members. It will also be useful to functional managers, business analysts, developers, power users, and end-users. Data Warehousing 101: Concepts and Implementation, which can be used as a textbook in an introductory data warehouse course, can also be used as a supplemental text in IT courses that cover the subject of data warehousing.Data Warehousing 101: Concepts and Implementation reviews the evolution of data warehousing and its growth drivers, process and architecture, data warehouse characteristics and design, data marts, multi-dimensionality, and OLAP. It also shows how to plan a data warehouse project as well as build and operate data warehouses. Data Warehousing 101: Concepts and Implementation also covers, in depth, common failure causes and mistakes and provides useful guidelines and tips for avoiding common mistakes.
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About the Author
Arshad Khan is a professor and IT consultant who has worked for Hitachi, LSI Logic, and Unisys. He has taught, data warehousing and other courses, at five universities including the University of California (Berkeley and Santa Cruz). Mr. Khan has authored books on software, engineering, current events, religion, and investing. He has a graduate degree in engineering and an MBA.
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This is a good book for the beginner who does not know of just has a brief introductory to Datawarehousing.
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Decision making involves making a choice between alternative courses of action in order to achieve an objective or goal. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
many data warehouse projects, current detailed data, data warehouse implementation, enterprise data warehouse, data warehouse database, physical data model, data marts, logical data model, star schema, target database, warehouse databases New!
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Decision making involves making a choice between alternative courses of action in order to achieve an objective or goal. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
many data warehouse projects, current detailed data, data warehouse implementation, enterprise data warehouse, data warehouse database, physical data model, data marts, logical data model, star schema, target database, warehouse databases New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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