The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence by Bob Becker, Joy Mundy, Margy Ross, Ralph Kimball, Warren Thornthwaite

The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence



Download The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence




The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence Bob Becker, Joy Mundy, Margy Ross, Ralph Kimball, Warren Thornthwaite
Language: English
Page: 747
Format: pdf
ISBN: 0470563109, 9780470563106
Publisher: Wiley

An unparalleled collection of recommended guidelines for data warehousing and business intelligence pioneered by Ralph Kimball and his team of colleagues from the Kimball Group.

Recognized and respected throughout the world as the most influential leaders in the data warehousing industry, Ralph Kimball and the Kimball Group have written articles covering more than 250 topics that define the field of data warehousing. For the first time, the Kimball Group's incomparable advice, design tips, and best practices have been gathered in this remarkable collection of articles, which spans a decade of data warehousing innovation.

Each group of articles is introduced with original commentaries that explain their role in the overall lifecycle methodology developed by the Kimball Group. These practical, hands-on articles are fully updated to reflect current practices and terminology and cover the complete lifecycle—including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence and analytics.

This easily referenced collection is nothing less than vital if you are involved with data warehousing or business intelligence in any capacity.

From the Back Cover

A collection of the most authoritative, detailed, and practical guidelines for data warehousing and business intelligence

Over the past 15 years, Ralph Kimball and his unparalleled team of colleagues have written articles covering more than 250 topics that have come to define the field of data warehousing (DW). The Kimball Group Reader presents the best of these articles, fully updated to reflect their current thinking and practices. Covering the complete lifecycle—including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence (BI) and analytics—the authors provide detailed, technical guidance that expands beyond the Toolkit essentials to provide fresh insights and best practices.

The Reader begins with a group of articles that established the core insights and principles of data warehousing. The content that follows provides detailed guidance for every step of the data warehouse lifecycle, with in-depth, practical guidance that you can leverage for your own projects. After covering project planning and business requirements, the authors take a dive into all things dimensional. There are more than 100 articles on dimensional modeling alone. These articles have been fully revised, updated, and expanded where needed to reflect current best practices established by the Kimball Group.

With incomparable articles providing critical advice for successfully designing, deploying, and maintaining the DW/BI system, The Kimball Group Reader covers:

Dos and Don'ts for gathering requirements

The Kimball enterprise data warehouse architecture and matrix

Dimensional modeling tasks and responsibilities

Fact table and dimension table core concepts

Data stewardship for conforming dimensions

Granularity and three fundamental types of fact tables

Snowflakes and outriggers

Bridges for handling multi-valued dimension attributes and ragged variable hierarchies

Nuances encountered in customer dimensions and internationalization issues

Slowly changing dimensions and hybrid variations

Subsystems to extract, transform, and load (ETL) data

Pros and cons of using a commercial ETL tool

Server-oriented architecture, master data management, and packaged analytics

Front-room BI applications and data mining

Techniques for assessing a mature DW/BW environment and getting it back on track

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