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Make Data Work
Oct 15–17, 2014 • New York, NY
Martin Kleppmann

Martin Kleppmann
Software Engineer, Entrepreneur, and Author, University of Cambridge

Website | @martinkl

Martin is committer on Apache Samza (a distributed stream processing framework), software engineer at LinkedIn, and author at O’Reilly (currently writing a book on designing data-intensive applications). Previously he co-founded and sold two startups, Rapportive and Go Test It. His technical blog is at martin.kleppmann.com, and he’s @martinkl on Twitter.

Sessions

5:05pm–5:45pm Thursday, 10/16/2014
Hadoop Platform
Location: Hall A 23/24
Martin Kleppmann (University of Cambridge)
Average rating: ****.
(4.71, 14 ratings)
Apache Samza is a framework for processing high-volume real-time event streams. In this session we will walk through our experiences of putting Samza into production at LinkedIn, discuss how it compares to other stream processing tools, and share the lessons we learnt about dealing with real-time data at scale. Read more.
11:50am–12:30pm Friday, 10/17/2014
Office Hour
Location: Table A
Martin Kleppmann (University of Cambridge)
Come by and bring Martin your real-time data problems. He’ll help you explore stream processing architectures for solving data problems, and the trade-offs of using different stream processing frameworks—such as Samza, Storm, and Spark Streaming. Discover which framework is best suited to your application. Read more.