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I know a data warehouse stores historical data and the fact and dimension tables could be huge with billion rows and could be more than 100s of GB in size for just one table. Can someone share some design tips on whether they partition those fact tables based upon time and then maybe use some partitioned views to access it. Im just looking at it from performance and also scalability.. and if we do create those multiple partitioned tables on different filegroups stored on different drive.. This is just one way I can see it done.. Is this approach right and do people use it ? Also, what other ways can we scale and have better performance. Any good DW design URLs i can refer to.. Thanks a lot in advance.. |
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