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Managing Data Dictionaries in DW and DSS Database Applications


Managing Data Dictionaries in DW and DSS Database Applications

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Frank Banin
Frank Banin
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Comments posted to this topic are about the item Managing Data Dictionaries in DW and DSS Database Applications

Frank Banin
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JQAllen
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Why would you implement a dimensional model in SQL Server database tables instead of Analysis Services?

Jay Quincy Allen, Managing Partner, ADAMA Systems
DEK46656
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Excellent ideas; we have on going efforts to document the DW and cubes. I'm certain I'll be looking into this more after the beginning of the year.

Beer's Law: Absolutum obsoletum
"if it works it's out-of-date"
BowlOfCereal
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Great ideas and tips, thanks. Has anyone found a solution for using extended properties to track ETL mappings? As in, these data elements in the source system feed into this attribute in dimension x? I'm looking for a comprehensive way to track these relationships, so that (for example) we can trace the impact of a data type change in the source system.
Frank Banin
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if you don't have a choice but to pull data directly from an OLTP system or a non multi dimensional data source to the cube then that's OK to model data in SSAS. The best practice is model your business dimensionally in a database before SSAS.

Frank Banin
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JQAllen
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Frank, why would that be considered best practice? A temporal relational data warehouse in database tables captures more data than a dimensional model, has a lower footprint on disk, and has better performance when searching for a small number of records within large datasets. The OLAP structure, modeled dimensionally, provides the best performance when aggregating large datasets. I don't understand why creating an intermmediate data store dimensionally in database tables would be considered best practice.

Jay Quincy Allen, Managing Partner, ADAMA Systems
Frank Banin
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if you are trying to find out which side I am on when it comes to the DW design approach dichotomy then I would say this is not the right forum. But if you are honestly seeking my opinion then that's OK.
You mention the fact that Data modeled dimensionally, provides the best performance when aggregating large datasets. My opinion is that whatever is feeding your SSAS cube is best modelled dimensionally.

Frank Banin
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DEK46656
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Frank Banin (12/21/2011)

... My opinion is that whatever is feeding your SSAS cube is best modelled dimensionally.

I agree, especially when you have diverse data sources.

Beer's Law: Absolutum obsoletum
"if it works it's out-of-date"
JQAllen
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You're right, I took this away from the original topic and it would be better served in another forum. I understand that many say "it's the best", not to mention Ralph Kimball himself. I'm still looking for the "why".

Jay Quincy Allen, Managing Partner, ADAMA Systems
Francis Rodrigues-459442
Francis Rodrigues-459442
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The answer to that questions depends on "the what". Some implementations are better when you have disparate data sources (flat files, spreadsheets, xml files, etc) as
DEK46656 suggests. One of the benefits of using an intermediary data marts is the enforcement of data integrity which you may lose when source your SSAS cube through database views or project data source views. This is a much larger discussion than the scope of this article.

The article itself presents the topic very well and provides scenarios in which the method can prove to be extremely useful. Kudos, Frank.
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