Accel Big Data Conference

What's next in Big Data

37 speakers

  • Oscar Boykin @posco Software Engineer, Twitter
  • Ben Werther @bwerther Founder & CEO, Platfora
  • Jake Flomenberg @jflomenb Principal, Accel Partners
  • Joseph Hellerstein @joe_hellerstein Chancellor's Professor, UC Berkeley
  • Michael Manoochehri @doubleocherry Developer Programs Engineer, Cloud and Data Platforms, Google, Inc.
  • Jay Parikh @jayparikh VP of Infrastructure Engineering, Facebook
  • Doug Cutting @cutting Architect, Cloudera Chairman, Apache Software Foundation
  • Luis von Ahn @LuisvonAhn A. Nico Habermann Associate Professor, Computer Science Department, Carnegie Mellon CEO, Duolingo, Inc.
  • James Phillips @JamesMPhillips Co-Founder and Senior VP Products, Couchbase
  • Steve Petrevski Executive Director Technology Business Development Office of the CIO JPMorgan Chase & Co.
  • John Ousterhout Professor (Research), Stanford University
  • Vas Natarajan @natarajv Associate, Accel Partners
  • Kevin Mahaffey @dropalltables Founder & CTO, Lookout
  • Ping Li @ping_accel Partner, Accel Partners
  • Jay Kreps @jaykreps Principal Staff Engineer, LinkedIn
  • Dan Levine @daniel_levine Associate, Accel Partners

33 known attendees

  • Sef Kloninger
  • fyietc
  • Lars Yencken
  • Paco Nathan
  • P. Oscar Boykin
  • Ben Werther
  • Jake Flomenberg
  • Joe Hellerstein
  • Michael Manoochehri
  • Jay Parikh
  • Doug Cutting
  • Luis von Ahn
  • Gil Elbaz
  • Charles Zedlewski
  • Suresh Vasudevan
  • Raymie Stata
  • Stephen Sorkin
  • Ken Rudin
  • Anand Rajaraman
  • James Phillips
  • vas natarajan
  • Kevin Mahaffey
  • ping li
  • Jay Kreps
  • Daniel Levine
  • Jeff Boehm
  • Jeff Hammerbacher
  • Jonathan Gray
  • Bruce Golden
  • Adam Evans
  • Michael E. Driscoll
  • andrew
  • Aditya Agarwal

1 person tracking this event

  • Ashish Chordia

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Related books

  • Big Data: Does Size Matter?
  • Data Science at the Command Line
  • Bootstrapping Machine Learning
  • Big Data: Understanding How Data Powers Big Business
  • The Big Data Revolution
  • Lean Analytics

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