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| Posted: |
21 Jan 2008 |
| Published: |
01 Jan 2007 |
| Format: |
PDF
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| Length: |
20
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| Type: |
White Paper |
| Language: |
English |
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ABSTRACT:
The industry has talked about data quality endlessly, but there have been few unifying architectural principles. This paper describes an easily implemented, non-disruptive, scalable, and comprehensive foundation for capturing data quality events as well as measuring and ultimately controlling data quality in the data warehouse.
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AUTHOR:
Ralph Kimball
Founder, Kimball Group
Ralph Kimball founded the Kimball Group. Since the mid 1980s, 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.
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BROWSE RELATED RESOURCES:
Data Integration | Data Migration | Data Profiling | Data Quality | Data Stewardship | Data Warehouses | MDM | Regulatory Compliance | Six Sigma |
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View All Resources
sponsored by Informatica |
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