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

Office Hour with Martin Kleppmann (Independent)

Martin Kleppmann (University of Cambridge)
5:25pm–6:05pm Wednesday, 09/30/2015
Office Hours
Location: Table A (O'Reilly Booth)

Martin can help you decide which framework is best suited to what kind of application. He’s ready to discuss:

  • Stream processing architectures for solving real-time data issues
  • The trade-offs made by different stream processing frameworks (such as Samza, Storm and Spark Streaming)
  • How to figure out which is best suited to what kind of application
Photo of Martin Kleppmann

Martin Kleppmann

University of Cambridge

Martin Kleppmann is a researcher in distributed systems at the University of Cambridge. Previously, he cofounded and sold two startups and worked on large-scale data infrastructure at internet companies including LinkedIn. Martin is the author of Designing Data-Intensive Applications from O’Reilly.