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Handling massive amounts of data as is done at places like Facebook, Cloudera, and our very own Orbitz is no simple task. Jeff has been focused on this for years. This talk dives into what works and what is left to be done. In the speakers own words:

“At Cloudera, we augment existing analytical platforms with some new tools for data management and analysis. In this talk, we'll share some experiences of what has worked across industries and workloads, and what new software components might help complete a new analytical platform.”

Speaker: Jeff Hammerbacher was an Entrepreneur in Residence at Accel Partners immediately prior to Cloudera. Before Accel, he conceived, built, and led the Data team at Facebook. The Data team was responsible for driving many of the applications of statistics and machine learning at Facebook, as well as building out the infrastructure to support these tasks for massive data sets. The Data team produced open source projects such as Hive and Cassandra and their work was recognized at conferences such as CHI, ICWSM, SIGMOD, and VLDB. Before joining Facebook, Jeff was a quantitative analyst on Wall Street. Jeff earned his Bachelor's Degree in Mathematics from Harvard University and recently served as a Managing Editor for O'Reilly's "Beautiful Data".

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