Cost Effective Techniques for Designing the Data Warehouse

Cost Effective Techniques for Designing the Data Warehouse

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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.

Join Embarcadero for a live webinar with Dr. Ralph Kimball and learn more about specific techniques for building and maintaining data warehouses more cost effectively. 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.

This webinar will also include a discussion and demonstration of some of these data warehouse design techniques with Embarcadero’s data modeling tool, ER/Studio XE.

Speaker

Dr. Ralph Kimball

Ralph 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.

Vendor:
Embarcadero Technologies, Inc.
Premiered:
Nov 30, 2010
Format:
Microsoft Excel
Type:
Webcast
Language:
English
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