Software is eating the world, and open source is eating the software. Most contemporary analytics shops use a lot of open source software in their analytics platform. So where does commercial software like SAS fit?
Paul Kent explains how you can achieve the best of both worlds by combining your favorite open source software with the power of SAS analytics, sharing patterns found in a range of scenarios, from onsite to cloud deployments.
This session is sponsored by SAS.
Paul Kent is vice president of big data initiatives at SAS, where he divides his time between customers, partners, and the research and development teams discussing, evangelizing, and developing software at the confluence of big data and high-performance computing. Previously, Paul was vice president of the Platform R&D Division at SAS, where he led groups responsible for the SAS foundation and mid-tier technologies—teams that develop, maintain, and test Base SAS, as well as related data access, storage, management, presentation, connectivity, and middleware software products. Paul has contributed to the development of SAS software components including PROC SQL, TCP/IP connectivity, the output delivery system (ODS), and more recently the inside-database and high-performance initiatives. A strong customer advocate, Paul is widely recognized within the SAS community for his active participation in the community and at local and international user conferences. Paul holds a bachelor of commerce (with honors) from WITS in South Africa, followed by an almost complete MBA (interrupted to try a North American posting). He got his commercial introduction to using computers to make better business decisions in the Gold Division of Anglo American.
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