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Kimball's data warehouse toolkit classics

By: Becker, Bob Caserta, Joe Kimball, Ralph Mundy, Joy Ross, Margy Thornthwaite, Warren

1118875184 / 9781118875186
Paperback
005.745
20/02/2014
Stock expected by 04/12/2020
3 volumes (1800 pages)
Professional & Vocational  Learn More
Contents: The data warehouse toolkit / Ralph Kimball, Margy Ross. Originally published: Indianapolis: John Wiley & Sons, 2013 -- The data warehouse lifecycle toolkit / Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Mundy, Bob Becker. Originally published: Indianapolis: Wiley, 2008 -- The data

Three books by the bestselling authors on DataWarehousing! The most authoritative guides from the inventorof the technique all for a value price. The Data Warehouse Toolkit, 3rd Edition(9781118530801) Ralph Kimball invented a data warehousingtechnique called "dimensional modeling" and popularized it in hisfirst Wiley book, The Data Warehouse Toolkit.

Since this book wasfirst published in 1996, dimensional modeling has become the mostwidely accepted technique for data warehouse design.

Over thepast 10 years, Kimball has improved on his earlier techniquesand created many new ones.

In this 3rd edition, he willprovide a comprehensive collection of all of these techniques, frombasic to advanced. The Data Warehouse Lifecycle Toolkit, 2nd Edition(9780470149775) Complete coverage of best practices fromdata warehouse project inception through on-going programmanagement. Updates industry best practices to be in syncwith current recommendations of Kimball Group. Streamlinesthe lifecycle methodology to be more efficient anduser-friendlyThe Data Warehouse ETL Toolkit(9780764567575) shows data warehouse developers how toeffectively manage the ETL (Extract, Transform, Load) phase ofthe data warehouse development lifecycle. The authors showdevelopers the best methods for extracting data from scatteredsources throughout the enterprise, removing obsolete,redundant, and innaccurate data, transforming the remaining datainto correctly formatted data structures, and then physicallyloading them into the data warehouse. This book provides complete coverage of proven, time-saving ETLtechniques.

It begins with a quick overview of ETL fundamentals andthe role of the ETL development team. It then quickly movesinto an overview of the ETL data structures, both relational anddimensional. The authors show how to build useful dimensionalstuctures, providing practical examples of beginning throughadvanced techniques.

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UND Data warehousing

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