Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Paul Kent

Paul Kent
VP, Platform R&D, SAS

Website | @hornpolish

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.

Sessions

9:25am–9:30am Thursday, 10/01/2015
Sponsored
Location: Javits North
Paul Kent (SAS)
Average rating: ***..
(3.70, 40 ratings)
Imagine the possibilities of having all of your data in one place – at a reasonable cost – with the computing potential to learn from relationships between data in all domains. Advanced analytics and Hadoop are changing the way organizations approach big data. Hear tips from the future and learn about key patterns emerging from a wide cross section of Hadoop journeys. Read more.
11:20am–12:00pm Thursday, 10/01/2015
Sponsored
Location: 1 E15
Paul Kent (SAS)
Average rating: ***..
(3.33, 3 ratings)
Imagine the possibilities of having all of your data in one place – at a reasonable cost – with the computing potential to learn from relationships between data in all domains. Advanced analytics and Hadoop are changing the way organizations approach big data.Hear tips from the future and learn about key patterns emerging from a wide cross section of Hadoop journeys. Perhaps they’ll inspire yours. Read more.