SAS 9 with SLES 12 Best Practices and Tuning Guide
When a professional European soccer team was looking for a new goal-scorer, they selected a prominent player discovered by using data analytics. Every week data is gathered from 1,500 matches in 210 leagues, analyzing statistics on more than 200,000 players. The results pointed to a second-division free-agent with an expired contract. Taking a chance, they signed him, and true to the data, he turned out to be one of their best goal-scorers. With massive amounts of data now available to us waiting to be mined, machine learning algorithms have become a key tool for business, whether that business is a soccer team, a manufacturing plant, or an airline.
It’s no surprise that data can improve a business’ ability to create new revenue and/or save costs. One company that many large corporations turn to for help in obtaining critical data insights is SAS, the market leader in business analytics, and a SUSE partner. Together we have created a set of best practices for users configuring SAS 9 on SLES 12 to process data more efficiently than ever before.
Check out the SUSE Linux 12 Configuration and Tuning Guide for SAS 9
Who is SAS?
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. The SAS Platform includes analytics, data management, and visualization components, giving businesses an entire software suite to investigate statistics from a variety of sources in just about every industry. For example, in highly transactional environments, like insurance, credit, or healthcare, fraud claims of several kinds occur every minute, and companies have only seconds to act before losing revenue or critical data. This type of database mining, which could take hours or days to do manually, requires intensive computation to obtain information on demand. Therefore, having the right solution tuned for optimal performance is crucial in accelerating the delivery of business-critical information.
How is SUSE helping?
Many factors can contribute to slow data retrieval or data mining. However, operating systems can enhance the interaction between the hardware and software in our data-driven world. Working together with SAS, we looked at several factors including file system, kernel tweaks, and I/O changes to provide helpful tuning information. We developed this in-depth tuning guide to help our joint customers improve their results.
If you’re using SAS with SUSE, this is an essential guide. We would love to hear your story, send us a message at ISV@SUSE.com.