The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling by Ralph Kimball |
by Brian Knight
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by Joy Mundy
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by Ralph Kimball
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Amazon.co.uk Review
Ralph Kimball's The Data Warehouse Toolkit translates the author's extensive real-world design experience into a truly useful guide to building data warehouses for today's corporations. Written in a no-nonsense manner, the author gives developers and managers the basics of designing, building and running data warehouses that are effective and useful to upper management.
Ralph Kimball's The Data Warehouse Toolkit translates the author's extensive real-world design experience into a truly useful guide to building data warehouses for today's corporations. Written in a no-nonsense manner, the author gives developers and managers the basics of designing, building and running data warehouses that are effective and useful to upper management.
The book begins with the fundamentals of what data warehouses are and how they differ from traditional databases used in Online Transaction Processing (OLTP). (Basically, data warehouses look at trends in millions of database records drawn from across organisations.) Once the author establishes this foundation, he solidly introduces the issues of data-warehouse design, using samples drawn from a wide variety of industries, including grocery stores, inventory warehouses, shipping, financial services, cable TV subscriptions, insurance and travel. The author succinctly describes the relevant "dimensions" of each industry. (These are the values or features that management will most likely want to track for each industry. The data warehouse must be prepared to answer these "questions".)
The last section of the book covers the process of actually designing a data warehouse, from conducting user interviews to planning for the hardware needed to run a data warehouse (where databases easily run in gigabytes and include millions of records). This text also includes a discussion of how to create effective front-ends for users (which will report the results of data-warehouse queries).
For its scope and intelligence, The Data Warehouse Toolkit is required reading for any developer or manager who wants to get a perspective on data warehouses before building one. --Richard Dragan
Review
"...provides clear–cut guidelines on how to model data and design data warehouses to support advanced multidimensional decision support systems." (Fatbrain.com; Ganthead.com, 9/01)
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Inside This Book
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First Sentence
Before we can develop the perspectives and techniques necessary for designing a data warehouse, we have to face an important issue. Read the first page
Front Cover | Table of Contents | Excerpt | Index | Back Cover
Before we can develop the perspectives and techniques necessary for designing a data warehouse, we have to face an important issue. Read the first page
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Front Cover | Table of Contents | Excerpt | Index | Back Cover
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