Blissful DataAMACOM, 2 февр. 2004 г. - Всего страниц: 224 Analyzing 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. |
Результаты поиска по книге
Результаты 1 – 5 из 42
Стр. 2
... obtained didn't have the data in a usable format. □ Certain functional areas wouldn't share their data. After facing quite a few roadblocks in trying to access and understand the data, Robert wrote up his data requirements and asked ...
... obtained didn't have the data in a usable format. □ Certain functional areas wouldn't share their data. After facing quite a few roadblocks in trying to access and understand the data, Robert wrote up his data requirements and asked ...
Стр. 8
... obtain the selected data, and receive the information in the format specified. Because these applications allow you to interface with the data warehouse, they are called end-user interfaces. □ Each memory cell contains a previous ...
... obtain the selected data, and receive the information in the format specified. Because these applications allow you to interface with the data warehouse, they are called end-user interfaces. □ Each memory cell contains a previous ...
Стр. 13
Извините, доступ к содержанию этой страницы ограничен..
Извините, доступ к содержанию этой страницы ограничен..
Стр. 26
Извините, доступ к содержанию этой страницы ограничен..
Извините, доступ к содержанию этой страницы ограничен..
Стр. 27
Извините, доступ к содержанию этой страницы ограничен..
Извините, доступ к содержанию этой страницы ограничен..
Содержание
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 |
Другие издания - Просмотреть все
Blissful Data: Wisdom and Strategies for Providing Meaningful, Useful, and ... Margaret Y. Chu Недоступно для просмотра - 2004 |
Часто встречающиеся слова и выражения
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