Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Paul Curtis

Paul Curtis
Principal Solutions Engineer, MapR Technologies

Website | @pfc_mapr

Paul Curtis is a principal solutions engineer at MapR, where he provides pre- and postsales technical support to MapR’s worldwide systems engineering team. Previously, Paul was senior operations engineer for Unami, a startup founded to deliver on the promise of interactive TV for consumers, networks, and advertisers, and a systems manager for Spiral Universe, a company providing school administration software as a service. He also held senior support engineer positions at Sun Microsystems, enterprise account technical management positions for both Netscape and FileNet, and positions in application development at Applix, IBM Service Bureau, and Ticketron. Paul got started in the ancient personal computing days; he began his first full-time programming job on the day the IBM PC was introduced.


2:55pm–3:35pm Wednesday, 09/12/2018
Location: 1E 09 Level: Beginner
Paul Curtis (MapR Technologies)
Average rating: *****
(5.00, 2 ratings)
Once the data has been captured, how can the cloud, containers, and a data fabric combine to build the infrastructure to provide the business insights? Paul Curtis explores three customer deployments that leverage the best of the private clouds and containers to provide a flexible big data environment. Read more.