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Data Warehousing, Data Mining, and Olap (Mcgraw-Hill Series on Data Warehousing and Data Management)
 
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Data Warehousing, Data Mining, and Olap (Mcgraw-Hill Series on Data Warehousing and Data Management) [Englisch] [Gebundene Ausgabe]

Alex Berson , Stephen J. Smith
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Produktinformation

  • Gebundene Ausgabe: 612 Seiten
  • Verlag: McGraw-Hill Inc.,US (Dezember 1997)
  • Sprache: Englisch
  • ISBN-10: 0070062722
  • ISBN-13: 978-0070062726
  • Größe und/oder Gewicht: 23,6 x 19 x 5 cm
  • Durchschnittliche Kundenbewertung: 3.5 von 5 Sternen  Alle Rezensionen anzeigen (8 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 605.605 in Englische Bücher (Siehe Top 100 in Englische Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Produktbeschreibungen

Kurzbeschreibung

This reference provides strategic, theoretical and practical insight into three information management technologies: data warehousing, online analytical processing (OLAP), and data mining. It shows how these technologies can work together to create a new class of information delivery system: the information factory. The book includes models and indexing techniques, and discusses application development using OLAP tools. Alex Berson is the author of "Client/Server Computing", and co-author (with George Anderson) of "Client/Server Database Design with Sybase" and "Sybase and Client/Server Computing".

Synopsis

This reference provides strategic, theoretical and practical insight into three information management technologies: data warehousing, online analytical processing (OLAP), and data mining. It shows how these technologies can work together to create a new class of information delivery system: the information factory. The book includes models and indexing techniques, and discusses application development using OLAP tools. Alex Berson is the author of "Client/Server Computing", and co-author (with George Anderson) of "Client/Server Database Design with Sybase" and "Sybase and Client/Server Computing".

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Format:Gebundene Ausgabe
If you are an IT professional with a good breadth of knowledge about the structure of enterprise data, systems and statistics, yet you are not sure what Data Warehousing, Data Mining or OLAP are, and are not even sure you know how to spell them, then this book is for you. (Rather limited audience if you ask me)

For the technically savvy, this book is excellent in covering, in minute detail, all of the possible needs, uses and commercial systems/products available to do Data Warehousing, Data Mining and/or OLAP. The tremendous amount of possibilities naturally causes this volume to lack the depth to actually guide a reader to an understanding of how they can implement these concepts. I do complement the author in possessing/researching such a tremendous amount of material. A downside is the fact that this book is instantly outdated because it is describing current technology (As of the writing of this book).

For non-technical Management and Executives however, this book will likely only confuse you to death and cause you to frown vehemently at the next person who recommends a Data Warehousing or OLAP strategy for your organization.

If you fit the profile that should read this book however, this is a great primer/eye opener to a rather large subject area called Enterprise Intelligence. Break out your reading glasses, (the print is small) set aside a good chunk of time, (the book is huge) and read it. Then find the suitable follow-up books that are in line with your new interests with Enterprise Intelligence. Keep a narrow focus when picking one of these. If you are a manager or executive, hire a team. This is a lot of stuff, and the need for this stuff is so painfully apparent that your business can not wait 4 years for you to learn this stuff.

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Format:Gebundene Ausgabe
If new to the domain of Business Intelligence/Data Warehousing, this book will provide a better than average job of arming you with enough technical information to make you dangerous in your "new territory". However, if you're seeking more depth in any of the title's areas or are looking for something "less-technical" (e.g., more of a business justification), other books would serve as a better reference. Nonetheless, for its broad coverage, this book is a good addition to any BI/DW practitioner's technical library.
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Format:Gebundene Ausgabe
As some one who makes a living doing OLAP development, I thought the Author does a great job explaining the similarities and differences between OLAP and relational analysis. An emphasis is DW and DM was obviously present. So not the best OLAP book but maybe the best (or one of) in total architecture.
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