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The Kimball Group reader : relentlessly practical tools for data warehousing and business intelligence / Ralph Kimball and Margy Ross ; with Bob Becker, Joy Mundy, and Warren Thornthwaite.

By: Contributor(s): Material type: TextTextPublisher: Indianapolis, IN : John Wiley & Sons, Inc., [2016]Copyright date: ©2016Description: 1 online resource (xxix, 882 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119216599
  • 1119216591
  • 9781119228912
  • 1119228913
  • 9781119238799 (e-book)
  • 111923879X (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Kimball Group readerDDC classification:
  • 005.745 23
LOC classification:
  • QA76.9.D37
Online resources:
Contents:
The reader at a glance -- Before you dive in -- Project/program planning -- Requirements definition -- Data architecture -- Dimensional modeling fundamentals -- Dimensional modeling tasks and responsibilities -- Fact table core concepts -- Dimension table core concepts -- More dimension patterns and considerations -- Back room ETL and data quality -- Technical architecture considerations -- Front room business intelligence applications -- Maintenance and growth considerations -- Final thoughts.
Summary: Offers a collection of recommended guidelines for data warehousing and business intelligence. Features articles covering the complete lifecycle of data warehousing, including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence and analytics.
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Includes bibliographical references (pages [853]-860) and indexes.

Offers a collection of recommended guidelines for data warehousing and business intelligence. Features articles covering the complete lifecycle of data warehousing, including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence and analytics.

The reader at a glance -- Before you dive in -- Project/program planning -- Requirements definition -- Data architecture -- Dimensional modeling fundamentals -- Dimensional modeling tasks and responsibilities -- Fact table core concepts -- Dimension table core concepts -- More dimension patterns and considerations -- Back room ETL and data quality -- Technical architecture considerations -- Front room business intelligence applications -- Maintenance and growth considerations -- Final thoughts.

Print version record.

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