Sessions tagged with 'mapreduce'

Doug Cutting (Cloudera)
Apache Avro provides an expressive, efficient standard for representing large data sets. Avro data is programming-language neutral and MapReduce-friendly. Hopefully it can replace gzipped CSV-like formats as a dominant format for data.
Abe Taha (Karmasphere), Shevek - (Karmasphere), Ken Krugler (Bixo Labs), Chris Wensel (Concurrent, Inc)
This tutorial will explain MapReduce and how to develop big data applications in Java and high level languages such as Pig and Hive SQL. Using examples it will cover how to prototype, debug, monitor, test and optimize big data applications for Hadoop. Attendees will get hands-on instruction and will leave with a solid understanding of how to analyze data on Hadoop clusters and practical examples.
Brian Dolan (Discovix ), Joe Hellerstein (Trifacta and UC Berkeley)
A discussion of Big Data approaches to analysis problems in marketing, forecasting, academia and enterprise computing. We focus on practices to enhance collaboration and employ rich statistical methods: a Magnetic, Agile and Deep (MAD) approach to analytics. While the approach is language-agnostic, we show that sophisticated statistics can be easily scaled in traditional environments like SQL.

Sponsors

  • Thomson Reuters
  • EMC Data Computing Division
  • EnterpriseDB
  • Microsoft
  • Gnip
  • Rackspace Hosting
  • IBM
  • Windows Azure MarketPlace DataMarket
  • Amazon Mechanical Turk
  • Amazon Web Services
  • Aster Data
  • Cloudera
  • Clustrix
  • DataStax, Inc. (formerly Riptano, Inc.)
  • Digital Reasoning Systems
  • Heritage Provider Network
  • Impetus
  • Jaspersoft
  • Karmasphere
  • LinkedIn
  • MarkLogic
  • Pentaho
  • Pervasive
  • Revolution Analytics
  • Splunk
  • Urban Mapping
  • Wolfram|Alpha
  • Esri
  • ParAccel
  • Tableau Software

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