A thorough update to the industry standard for designing,developing, and deploying data warehouse and business intelligencesystems
The world of data warehousing has changed remarkably since thefirst edition of The Data Warehouse Lifecycle Toolkit was publishedin 1998. In that time, the data warehouse industry has reached fullmaturity and acceptance, hardware and software have made staggeringadvances, and the techniques promoted in the premiere edition ofthis book have been adopted by nearly all data warehouse vendorsand practitioners. In addition, the term "business intelligence"emerged to reflect the mission of the data warehouse: wrangling thedata out of source systems, cleaning it, and delivering it to addvalue to the business.
Ralph Kimball and his colleagues have refined the original setof Lifecycle methods and techniques based on their consulting andtraining experience. The authors understand first-hand that a datawarehousing/business intelligence (DW/BI) system needs to change asfast as its surrounding organization evolves. To that end, theywalk you through the detailed steps of designing, developing, anddeploying a DW/BI system. You'll learn to create adaptable systemsthat deliver data and analyses to business users so they can makebetter business decisions.
With substantial new and updated content, this second edition of
The Data Warehouse Lifecycle Toolkit
again sets thestandard in data warehousing for the next decade. It shows you howto:
Identify and prioritize data warehouse opportunities
Create an architecture plan and select products
Design a powerful, flexible, dimensional model
Build a robust ETL system
Develop BI applications to deliver data to business users
Deploy and sustain a healthy DW/BI environmentv
The authors are members of the Kimball Group. Each has focusedon data warehousing and business intelligence consulting andeducation for more than 15 years; most have written other books inthe Toolkit series. Learn more about the Kimball Group and KimballUniversity at www.kimballgroup.com.