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Date:         Mon, 18 Mar 2002 16:17:13 -0500
Reply-To:     clmakinson@GOODYEAR.COM
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
Comments:     To: Bruce Butts <BBUTTS%internet@akr.goodyear.com>
From:         clmakinson@GOODYEAR.COM
Subject:      Re: MDDB vs. SAS datasets
Comments: To: SAS-L@LISTSERV.VT.EDU
Content-type: text/plain; charset=us-ascii

MDDB is ideal if you want to use any of the EIS tools. To query the MDDB with PROC SQL you must resort to MDX; but this will eliminate the need to maintain both MDDB's and Datasets. If you don't need EIS then the Summary Datasets may be easier to build and maintain. Big problem here was that some of our 'facts' were ratios of other columns (like Btu/lb) which are easily handled by adding computed columns to the EIS Metabase. However, since these do not actually exist in the MDDB they can't be queried with MDX. Proc Summary doesn't understand ratios either so all the levels above the lowest were wrong. Our solution was post process the Proc Summary output dataset to fake the summary of ratios.

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Bruce Butts <BBUTTS@GW.ODH.ST To: SAS-L@LISTSERV.VT.EDU ATE.OH.US> cc: Sent by: "SAS(r) Subject: [SAS-L] MDDB vs. SAS datasets Discussion" <SAS-L@listserv.v t.edu>

03/18/02 03:35 PM Please respond to Bruce Butts

Greetings SAS-L, I am considering creating MDDBs to summarize and store about 2 million records of Birth and Death data summarized on year, county, age, race, sex and other demographic variables. I am also considering storing the same data in SAS data sets as the output from Proc Summary at the same levels I would build the data cubes with Proc MDDB. We will be using the datasets to respond to external requests through a browser (SAS/Intrnet & App Dev Studio applications) and for internal users to access for research purposes.

Does anyone have evidence or opinions on the relative merits of creating MDDBs vs. summary SAS data sets?

Thanks in advance for your responses.

Bruce Butts, Ohio Department of Health


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