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 When to make a Vertical partition in Data Warehous

Author  Topic 

Vijaykumar_Patil
Posting Yak Master

121 Posts

Posted - 2008-06-05 : 08:01:37
Hi All,

I am trying to understand, when would I do a vertical partition in a Dimensional Data Warehouse ? What are the things I need to consider, before I take the decision?

Necessity is the mother of all inventions!

Vijaykumar_Patil
Posting Yak Master

121 Posts

Posted - 2008-06-05 : 09:15:59
I think .. I am asking in a wrong way.. I think I am looking for snowflake schema. As to when to do it and what are the things I need to consider to make decision to use snowflake schema.

Necessity is the mother of all inventions!
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rmiao
Master Smack Fu Yak Hacker

7266 Posts

Posted - 2008-06-05 : 22:54:19
Don't do it because of performance.
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Lumbago
Norsk Yak Master

3271 Posts

Posted - 2008-06-06 : 02:42:20
If you don't have large amounts of data a snowflake design could be defended and work somewhat well for you, but once the amount of data increases you will face performance problems just like reporting on a traditional relational database model. Try creating star schemas instead and remember that there is always the possibility of having several different fact tables using the same dimensions.

--
Lumbago
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Vijaykumar_Patil
Posting Yak Master

121 Posts

Posted - 2008-06-06 : 07:21:28
thank you guys I understand that part very well. I am trying make a check list before I split a dimension. If at all I need to split it. So link or a few points would be great.

Necessity is the mother of all inventions!
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blindman
Master Smack Fu Yak Hacker

2365 Posts

Posted - 2008-06-06 : 10:45:05
Star schemas are for datamarts, not data warehouses. Keep your warehouse in snowflake, or better yet, relational form. Then add preaggregated tables or spin off subject-area datamarts for performance as the need arises.

e4 d5 xd5 Nf6
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manstein
Starting Member

1 Post

Posted - 2008-08-20 : 10:57:09
Its a game Bb5

quote:
Originally posted by blindman

Star schemas are for datamarts, not data warehouses. Keep your warehouse in snowflake, or better yet, relational form. Then add preaggregated tables or spin off subject-area datamarts for performance as the need arises.

e4 d5 xd5 Nf6



Its gonna be a long, long way to happy
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blindman
Master Smack Fu Yak Hacker

2365 Posts

Posted - 2008-08-20 : 13:20:55
Took me a moment to figure out what you were talking about. Ha!

Boycott Beijing Olympics 2008
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