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?
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.
