- Tapa blanda: 600 páginas
- Editor: Wiley John + Sons; Edición: 3rd Edition (12 de julio de 2013)
- Idioma: Inglés
- ISBN-10: 1118530802
- ISBN-13: 978-1118530801
- Valoración media de los clientes: 2 opiniones de clientes
- Clasificación en los más vendidos de Amazon: nº31.651 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (Inglés) Tapa blanda – 12 jul 2013
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Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence Begins with fundamental design recommendations and progresses through increasingly complex scenarios Presents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.
The most authoritative and comprehensive guide to dimensional modeling, from its originators?fully updated
Ralph Kimball introduced the industry to the techniques of dimensional modeling in the first edition of The Data Warehouse Toolkit (1996). Since then, dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) systems. The Data Warehouse Toolkit is recognized as the definitive source for dimensional modeling techniques, patterns, and best practices.
This third edition of the classic reference delivers the most comprehensive library of dimensional modeling techniques ever assembled. Fully updated with fresh insights and best practices, this book provides clear guidelines for designing dimensional models?and does so in a style that serves the needs of those new to data warehousing as well as experienced professionals.
All the techniques in the book are illustrated with real-world case studies based on the authors' actual DW/BI design experiences. In addition, the Kimball Group's "official" list of dimensional modeling techniques is summarized in a single chapter for easy reference, with pointers from each technique to the case studies where the concepts are brought to life.
The third edition of The Data Warehouse Toolkit covers:
- Practical design techniques?both basic and advanced?for dimension and fact tables
- 14 case studies, including retail sales, electronic commerce, customer relationship management, procurement, inventory, order management, accounting, human resources, financial services, healthcare, insurance, education, telecommunications, and transportation
- Sample data warehouse bus matrices for 12 case studies
- Dimensional modeling pitfalls and mistakes to avoid
- Enhanced slowly changing dimension techniques type 0 through 7
- Bridge tables for ragged variable depth hierarchies and multivalued attributes
- Best practices for Big Data analytics
- Guidelines for collaborative, interactive design sessions with business stakeholders
- An overview of the Kimball DW/BI project lifecycle methodology
- Comprehensive review of extract, transformation, and load (ETL) systems and design considerations
- The 34 ETL subsystems and techniques to populate dimension and fact tables
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The authors are opinionated, but in a good way. They express views on how things ought to be done, based on long experience, and this helps moves the novice along the learning curve. I've seen a few critiques in other reviews that the authors are repetitive or make a big deal out of obvious things. This actually is good instructional technique; if you want to shape the behavior of a student, you need to repeat things over and over, because no one gets it the first time. As for what is obvious or not, that varies among students. Even when a practice is obvious to a particular student, it doesn't mean that he will actually conform to that practice in real life. People are often lazy and undisciplined, and don't do the things they were taught in kindergarten. It never hurts to reinforce the obvious.
I do wish that there was less "Kimball" marketing in the text. All the readers will understand that this book (and others) originated with Ralph Kimball and represent his viewpoints. Thank god there wasn't a (tm) after each reference to Kimball...
I've read basically all of Kimball's books and follow his method but this book for me is not only the foundation to his method but very entertaining and easy to read.
I strongly recommend this to any business intelligence designer or developer. Without a solid data warehouse, you will not have the necessary foundation to build a coherent and consistent business intelligence reporting application. And the Kimball Group definitely delivers this through their method in this book.