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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (Anglais) Broché – 9 juillet 2013

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Descriptions du produit

Présentation de l'éditeur

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.

Quatrième de couverture

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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Dans ce livre

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Couverture | Copyright | Table des matières | Extrait | Index
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Amazon.com: 54 commentaires
15 internautes sur 16 ont trouvé ce commentaire utile 
Nice to see an update 18 juillet 2013
Par Makersmark76 - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
I have been delivering data warehousing solutions with the kimball methodology for over 10 years. This version of the book deals with more of the not so perfect world issues we have to deal with. It adds to the design choices available to architects to use.the old books had more of an assumption that businesses will make changes to accommodate the simple modeling processes and many wont. I just hope the ETL book gets a more realistic rewrite soon as well.
5 internautes sur 5 ont trouvé ce commentaire utile 
Excellent Enhancement to a Modern Classic 9 juillet 2013
Par JP O'Connor - Publié sur Amazon.com
Format: Broché Achat vérifié
This third edition is greatly expanded from the already excellent second edition of this book. Kimball and Ross apply their vast experience as consultants (who actually deliver) and as educators to this book, providing a reference that is up-to-date, relevant, and most of all that is practical in its application of the principles to real world designs and projects. Practitioners following Kimball methods enjoy a very high success rate.

One of the hallmarks of Kimball Group books is the emphasis on business perspective and successful implementation. The underlying theories are always clearly presented and accessible to the reader, yet the material is framed in the context of delivering real results for real clients. This skillful blend of theory and reality is refreshing and most useful to those who have to deliver.

Perusing the Table of Contents, one finds treatment of many topics in the context of specific industries. Do not make the mistake of assuming these chapters apply only to the specific industries mentioned; instead realize that the industries are used as examples to clarify and amplify the presentation of the underlying design principles. The underlying principles are clearly presented and it is easy to imagine how they apply to other industries. Several other chapters address broader issues, both technical and on the business side. The entire book is up to date with current practice and includes clear discussion of newer topics such as additional Slowly Changing Dimension (SCD) types, and big data, among numerous others.

This book is an excellent resource for those tasked with designing, or managing the design, of quality dimensional data models for real projects with real deadlines. Kimball and Ross deliver, and so does this latest edition.
4 internautes sur 4 ont trouvé ce commentaire utile 
Excellent Book 25 février 2014
Par Brian M. Ciampa - Publié sur Amazon.com
Format: Broché
This is an excellent book for both the beginner and the experienced data warehousing professional. Kimball and Ross do a stellar job of explaining the ins and outs of star schema design, which can be quite complex at times. I love their approach, which involves providing examples of business processes and then taking the reader through the thought process of designing star schemas around them. I highly recommend this book to anybody wishing to enter (or who has already entered) the BI industry.
3 internautes sur 3 ont trouvé ce commentaire utile 
A Classic, Improved 4 juillet 2013
Par Michael Helms - Publié sur Amazon.com
Format: Broché Achat vérifié
Kimball's seminal text about data warehousing was always a strong read, and third time's a charm for this book. Anyone who is even remotely acquainted with data warehousing will find something of interest, and serious data warehouse practitioners should take careful note of Kimball's recommendations.

I've seen a lot of BI projects before. The ones that succeed followed Kimball's methodology. The ones that failed didn't.
3 internautes sur 3 ont trouvé ce commentaire utile 
Another excellent reference building on the past and driving us to the future 2 septembre 2013
Par aussiejim - Publié sur Amazon.com
Format: Broché Achat vérifié
This book is great I have found it very helpful in many areas.
A seminal piece of work, the old versions are good too but this new version has chapters on big data for the practically minded (aka no hype) and all the familiar studies against different subject areas / industries.

A must for anyone serious about building or running a successful data warehouse that is understandable by the business.
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