A cost effective data warehouse project doesn't have to be an oxymoron. Rather than committing to a full-fledged waterfall style approach, it is possible to build a data warehouse incrementally and inexpensively, while at the same time preserving high-level architectural goals that lead to a true enterprise data warehouse.

In this webinar, Dr. Kimball will describe the specific design techniques for building and maintaining cost effective, highly-scalable data warehouses. You’ll learn more about:
  • Dimensional schemas and how to use these proven data models with business users and implement them across BI delivery tools
  • Conformed dimensions and how these essential enabling structures can provide integration across separate data sources in the data warehouse
  • Time variance tracking techniques for representing all possible time tracking situations
  • Data quality management and how to tackle data quality problems at the source
  • Incremental development techniques for an agile approach to designing enterprise data warehouses

Designing, re-designing, or maintaining a data warehouse?
Cost effective techniques for designing the data warehouse

About Dr. Ralph Kimball

Kimball founded the Kimball Group. Since the mid 1980's he has been the data warehouse/business intelligence (DW/BI) industry's thought leader on the dimensional approach and trained more than 10,000 IT professionals. Prior to working at Metaphor and founding Red Brick Systems, Ralph co-invented the Star workstation at Xerox's Palo Alto Research Center (PARC). Ralph has his Ph.D. in Electrical Engineering from Stanford University.