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Kimball's Data Warehouse Toolkit Classics | Zookal Textbooks | Zookal Textbooks
  • Author(s) Ralph Kimball / Margy Ross / Warren Thornthwaite / Joy Mundy / Bob Becker / Joe Caserta
  • Edition2
  • Published9th April 2021
  • PublisherJohn Wiley & Sons Inc (US)
  • ISBN9781118875186

Three books by the bestselling authors on Data
Warehousing!  The most authoritative guides from the inventor
of the technique all for a value price.


The Data Warehouse Toolkit, 3rd Edition
(9781118530801)
Ralph Kimball invented a data warehousing
technique called "dimensional modeling" and popularized it in his
first Wiley book, The Data Warehouse Toolkit. Since this book was
first published in 1996, dimensional modeling has become the most
widely accepted technique for data warehouse design. Over the
past 10 years, Kimball has improved on his earlier techniques
and created many new ones. In this 3rd edition, he will
provide a comprehensive collection of all of these techniques, from
basic to advanced.


The Data Warehouse Lifecycle Toolkit, 2nd Edition
(9780470149775)
 Complete coverage of best practices from
data warehouse project inception through on-going program
management.  Updates industry best practices to be in sync
with current recommendations of Kimball Group.  Streamlines
the lifecycle methodology to be more efficient and
user-friendly


The Data Warehouse ETL Toolkit
(9780764567575)  shows data warehouse developers how to
effectively manage the ETL (Extract, Transform, Load) phase of
the data warehouse development lifecycle.  The authors show
developers the best methods for extracting data from scattered
sources throughout the enterprise, removing obsolete,
redundant, and innaccurate data, transforming the remaining data
into correctly formatted data structures, and then physically
loading them into the data warehouse.  


This book provides complete coverage of proven, time-saving ETL
techniques. It begins with a quick overview of ETL fundamentals and
the role of the ETL development team.  It then quickly moves
into an overview of the ETL data structures, both relational and
dimensional.  The authors show how to build useful dimensional
stuctures, providing practical examples of beginning through
advanced techniques.

Kimball's Data Warehouse Toolkit Classics

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  • Author(s) Ralph Kimball / Margy Ross / Warren Thornthwaite / Joy Mundy / Bob Becker / Joe Caserta
  • Edition2
  • Published9th April 2021
  • PublisherJohn Wiley & Sons Inc (US)
  • ISBN9781118875186

Three books by the bestselling authors on Data
Warehousing!  The most authoritative guides from the inventor
of the technique all for a value price.


The Data Warehouse Toolkit, 3rd Edition
(9781118530801)
Ralph Kimball invented a data warehousing
technique called "dimensional modeling" and popularized it in his
first Wiley book, The Data Warehouse Toolkit. Since this book was
first published in 1996, dimensional modeling has become the most
widely accepted technique for data warehouse design. Over the
past 10 years, Kimball has improved on his earlier techniques
and created many new ones. In this 3rd edition, he will
provide a comprehensive collection of all of these techniques, from
basic to advanced.


The Data Warehouse Lifecycle Toolkit, 2nd Edition
(9780470149775)
 Complete coverage of best practices from
data warehouse project inception through on-going program
management.  Updates industry best practices to be in sync
with current recommendations of Kimball Group.  Streamlines
the lifecycle methodology to be more efficient and
user-friendly


The Data Warehouse ETL Toolkit
(9780764567575)  shows data warehouse developers how to
effectively manage the ETL (Extract, Transform, Load) phase of
the data warehouse development lifecycle.  The authors show
developers the best methods for extracting data from scattered
sources throughout the enterprise, removing obsolete,
redundant, and innaccurate data, transforming the remaining data
into correctly formatted data structures, and then physically
loading them into the data warehouse.  


This book provides complete coverage of proven, time-saving ETL
techniques. It begins with a quick overview of ETL fundamentals and
the role of the ETL development team.  It then quickly moves
into an overview of the ETL data structures, both relational and
dimensional.  The authors show how to build useful dimensional
stuctures, providing practical examples of beginning through
advanced techniques.
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