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Working Together to Build Your Data Model |
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Artcle written by Michael A. Schiff and taken from TDWI website
Imagine trying to build your dream house without first creating a blueprint. The resulting structure would likely be an architectural nightmare with rooms that don’t fit together and electrical outlets, plumbing fixtures, and heating and air-conditioning vents that are don’t work or are not where you need them.
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Master Data Management and the Challenge of Reality |
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Article by Malcolm Chisholm, published in B-Eye-Network.com
One of the central problems of master data management, which is often poorly stated, is the need to determine if one individual thing is the same as another individual thing. But the only way we have to do this is by matching records, and a record is not the same as the thing it represents. Unlike The Matrix, we are more in danger of confounding two "realities" rather than recognizing them as distinct.
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Introduction to Master Data Management |
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Article by Andy Hayler for B-Eye-Network.com
What is master data, and why should you care?
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The Seven Deadly Sins of Data Modelling |
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This article by Chris Bradley was taken from B-Eye-Network.com
Data modelling has been around since the mid 1970s; and for the last 30 years, I’ve been lucky (or not) to be involved in this field. When it first emerged it promised so much ...
“A single consistent definition of data”
“Master data records of reference”
“Reduced development time”
“Improved data quality”
“Impact analysis”
……and so on.
Who in their right mind would NOT want to have these benefits realised in their organisations? Surely they are no brainers?
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Kimball University: Six Key Decisions for ETL Architectures |
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Best-practice advice on software vs. coding, where to integrate, how to capture changed data, when to stage data, where to correct data and what latency levels to shoot for.
This October 2009 article by Bob Becker is taken from Intelligententerprise.com.
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