topic Handling large datasets efficiency tips in SAS Programming

Handling large datasets efficiency tips

siddhu1 — Fri, 11 Feb 2022 14:46:51 GMT

Hi,

I am just working on the large datasets(>10 TB) , want to extract the data from Oracle and DB2 and need to do data manipulation.
For this should I use the implicit or explict pass through facility in extracting the data and which one is efficient in performance wise.

Please let me know if there any efficiency techniques in handling the large datasets.

Thanks & Regards,
Siddhu1

Re: Handling large datasets efficiency tips

CarmineVerrell — Fri, 11 Feb 2022 15:11:35 GMT

With data that is that large, I would suggest keeping the data in the DB and using explicit pass through.

Simple technic to improving performance , only keep the columns you will be using and subset the data(rows/observations) if you are not using all of it either.

Hope this helps.

Re: Handling large datasets efficiency tips

Kurt_Bremser — Fri, 11 Feb 2022 16:19:28 GMT

What @CarmineVerrell said: in the first step (where you will probably use explicit pass-through), reduce the dataset horizontally (variables) and vertically (observations).

From there, it depends on what you have in terms of dataset structure, and where you need to get for your analysis.

Re: Handling large datasets efficiency tips

PeterClemmensen — Fri, 11 Feb 2022 17:47:29 GMT

I highly recommend reading Tactics for Pushing SQL to the Relational
Databases. A little long, but packed with tips.