Blissful DataAnalyzing information and acting accordingly is a key strategic goal of every business. But vast quantities of data are of little use if they are not structured and kept in such a way as to be readily accessible and applicable. Only optimally organized information can drive maximum productivity. Blissful Data is a reader-friendly book that reveals what it takes to achieve a state of perfect organization within the environment of a successful data warehouse. This timely book will help the reader: * understand how data evolves into information that drives better decision making * recognize the pitfalls, caused by people and politics, that lead to short-sighted solutions and long-term problems * manage data warehousing costs, performance, and expectations effectively * apply project management fundamentals to data warehouse endeavors. Blissful Data includes dozens of examples, as well as case studies illustrating successful, unsuccessful, and disastrous data warehouse strategies. |
From inside the book
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Page 7
... exists as part of a computer on a hardware platform. This platform can be a mainframe, a set of servers, or a PC or workstation. The computer network makes everything work together. □ Your memory contains many memory cells. This ...
... exists as part of a computer on a hardware platform. This platform can be a mainframe, a set of servers, or a PC or workstation. The computer network makes everything work together. □ Your memory contains many memory cells. This ...
Page 8
... exist elsewhere. That is, a sibling or friend could have shared an experience, a book, a TV show. Sometimes, hundreds or thousands of people share a memory. This duplication of experiences is a very good thing. Similarly, the data in a ...
... exist elsewhere. That is, a sibling or friend could have shared an experience, a book, a TV show. Sometimes, hundreds or thousands of people share a memory. This duplication of experiences is a very good thing. Similarly, the data in a ...
Page 9
... exist for the purpose of running the day-to-day business of the operation; they are not well suited for analysis and decision making. Therefore, the data must go through a process of transformation (explained in Chapter 4), before being ...
... exist for the purpose of running the day-to-day business of the operation; they are not well suited for analysis and decision making. Therefore, the data must go through a process of transformation (explained in Chapter 4), before being ...
Page 39
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Page 40
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Contents
Data Warehouses Data Marts | 25 |
Myths and Misconceptions | 47 |
What Are Dirty Data? Where Do Dirty Data Come From? | 69 |
Politics | 93 |
Politics | 116 |
Project Management | 152 |
Data Modeling | 186 |
Case Studies | 210 |
Glossary | 229 |
About the Author | 245 |
Other editions - View all
Blissful Data: Wisdom and Strategies for Providing Meaningful, Useful, and ... Margaret Y. Chu No preview available - 2004 |
Common terms and phrases
action additional already amounts analysis application areas become benefits better blissful data bring business clients business rules business units called cause Chapter clear codes communication completed contains cost create culture data mart data model data warehouse data warehousing databases decisions defined detailed dirty data effort employees endeavor example exist expectations field Figure functional game plan goals groups important improvement increased integration investment involved issues keep knowledge look measurement metadata method months objectives obtain once operational operational systems organization organizational culture performance person problems project management queries REMEMBER reports requirements response risk schedule scope share skills solution specific sponsor structure success tool types understand ware