- Tapa blanda: 576 páginas
- Editor: Hungry Minds Inc,U.S.; Edición: 4th Edition (23 de septiembre de 2005)
- Idioma: Inglés
- ISBN-10: 0764599445
- ISBN-13: 978-0764599446
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
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nº251.958 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
- n.° 888 en Libros en idiomas extranjeros > Informática, internet y medios digitales > Bases de datos
- n.° 4913 en Libros en idiomas extranjeros > Informática, internet y medios digitales > Programación y desarrollo de software
- n.° 16095 en Libros en idiomas extranjeros > Economía y empresa > Empresa, estrategia y gestión
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Building the Data Warehouse (Inglés) Tapa blanda – 23 sep 2005
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Descripción del producto
Reseña del editor
The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himselfIn addition to explaining the fundamentals of data warehouse systems, the book covers new topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage mediaDiscusses the pros and cons of relational versus multidimensional design and how to measure return on investment in planning data warehouse projectsCovers advanced topics, including data monitoring and testingAlthough the book includes an extra 100 pages worth of valuable content, the price has actually been reduced from $65 to $55
The most comprehensive introduction to the core concepts and methods of data warehousing
Data warehouses provide a much-needed strategy for organizations to collect, store, and analyze vast amounts of business data. As businesses expand both brick-and-mortar and online activities, the field of data warehousing has become increasingly important. Since it was first published in 1990, W. H. Inmon's Building the Data Warehouse has been the bible of data warehousing? it is the book that launched the data warehousing industry and it remains the preeminent introduction to the subject. This new edition covers the latest developments with this technology, many of which have been pioneered by Inmon himself.
An overview of all the fundamental components of data warehouse systems offers you a refresher of the methods used for data warehouse design; various data warehouse migration strategies; and the technologies that can be applied for loading, indexing, and managing data. In order to bring you up to date, this in-depth guide then features the latest advances in data warehousing.
New chapters cover:
- Understanding methods for handling unstructured data in a data warehouse
- Storing data across multiple storage media
- Examining the pros and cons of relational vs. multidimensional design
- Measuring return on investment in planning data warehouse projects
- Exploring advanced topics, including data monitoring and testing
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Opiniones de clientes más útiles en Amazon.com
It covers the data warehousing field completely - giving a 360 degree view to a reader. However it is not very readable. The ideas are expressed in a difficult way and you can not figure out the author's higher level of flow of thought while going through one specific chapter.
There are too many diagrams. Nearly all are useless. They do not add any further clarity to the topic or the situation . If the topic will mention about a simple data flow from A to B then it will refer to a diagram which will have two rectangle boxes connected with an arrow and that is it. A mention of a slight modification in the same date flow will result in referring to a new diagram. This way of explanation frustrates the reader especially because mostly the diagrams are not placed on the same page where they are being referred to. You generally have to flip 2-3 pages to reach to the diagram page then you flip back to the topic page to discover that another reference is being made to another diagram 4-5 pages away. This frustrated me so much that I later skipped noticing the diagrams.
The book does explains a lot of things around data warehousing but it lacks the tactic to mesmerize a reader .It is definitely not for a newbie as it requires good knowledge of the field to be able to grasp the abstractness of the ideas.
If you can somehow remove the repetitive mentioning of differences between OLTP and DWH and the statement that DWH can not be build in one cycle, the book will literally shrink to half of its current size.