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Top Ten SAS ® Performance Tuning Techniques
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lafler, Kirk Paul |
| Copyright Year | 2012 |
| Abstract | The Base-SAS® software provides users with many choices for accessing, manipulating, analyzing, and processing data and results. Partly due to the power offered by the SAS software and the size of data sources, many application developers and endusers are in need of guidelines for more efficient use. This presentation highlights my personal top ten list of performance tuning techniques for SAS users to apply in their applications. Attendees learn DATA and PROC step language statements and options that can help conserve CPU, I/O, data storage, and memory resources while accomplishing tasks involving processing, sorting, grouping, joining (merging), and summarizing data. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://support.sas.com/resources/papers/proceedings17/0180-2017.pdf |
| Alternate Webpage(s) | http://www.mwsug.org/proceedings/2015/SA/MWSUG-2015-SA-12.pdf |
| Alternate Webpage(s) | http://support.sas.com/resources/papers/proceedings12/357-2012.pdf |
| Alternate Webpage(s) | https://www.lexjansen.com/wuss/2015/23_Final_Paper_PDF.pdf |
| Alternate Webpage(s) | https://www.lexjansen.com/mwsug/2012/BI/MWSUG-2012-BI11.pdf |
| Alternate Webpage(s) | http://www.mwsug.org/proceedings/2014/SA/MWSUG-2014-SA17.pdf |
| Alternate Webpage(s) | http://analytics.ncsu.edu/sesug/2014/AD-03.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |