How a Streams First Architecture Enables Real-Time Big Data

This discussion will focus on the use cases for a streams first architecture, and how streams can enable real-time in an big data environment. Use cases from the retail and financial industries will be used to illustrate the basic building blocks needed to enable real-time analytics using streams as the data sources. One surprising outcome is that batch analytics becomes much easier and more clear as well.

Presenter:

Paul Curtis is a Senior Field Enablement Engineer at MapR, where he provides pre- and post-sales technical support to MapR’s worldwide Systems Engineering team. Prior to joining MapR, Paul served as Senior Operations Engineer for Unami, a startup founded to deliver on the promise of interactive TV for consumers, networks and advertisers. Previously, Paul was Systems Manager for Spiral Universe, a company providing school administration software as a service. He has also held senior sustaining engineer positions at Sun Microsystems, as well as enterprise account technical management positions for both Netscape and FileNet. Earlier in his career, Paul worked in application development for Applix, IBM Service Bureau, and Ticketron. His background extends back to the ancient personal computing days, having started his first full time programming job on the day the IBM PC was introduced.