Video Description
Looking for solutions to gather, store, and analyze the flood of Big Data? This video compilation gives you the best seat in the house for the inaugural sessions at OSCON Data. In more than a dozen segments, you'll learn valuable techniques, tools, and advice from leaders in the field. Discover open source technologies that make it possible to use new data sources and do new things with existing data.
Table of Contents
- Introduction to Hadoop - Tom Hanlon 00:42:58
- Architectural Anti-patterns for Data Handling - Gleicon Moraes 00:37:03
- Distributed Data Analysis with Hadoop and R - Jonathan Seidman and Ramesh Venkataramaiah 00:41:35
- Facebook Messages and HBase - Nicolas Spiegelberg 00:42:16
- Optimizing MySQL to Let People Argue - Jeremy Bingham 00:25:24
- Big Data For Less Dealing with Large Data Sets on a Startups Budget - Kate Matsudaira 00:35:08
- Designing and Implementing Asynchronous Distributed Systems: Challenges, Strategies, and a Million Things That Go Wrong - Scott 00:41:11
- Lumberyard: Time Series Indexing at Scale - Josh Patterson 00:37:58
- Part 01 - Consistency or Bust - Breaking a Riak Cluster - Jeffrey Kirkell 00:39:48
- Part 02 - Consistency or Busy - Breaking a Riak Cluster - Jeffrey Kirkell 00:38:51
- Esperwhispering: Get Your Real-Time Data Game On - Theo Schlossnagle 00:43:27
- Part 01 - The Hitchhikers Guide to A Kaggle Competition - Krishna Sankar 00:42:53
- Part 02 - The Hitchhikers Guide to A Kaggle Competition - Krishna Sankar 00:46:43
- What Every Programmer Needs to Know About Disks - Ted Dziuba 00:37:00
- Part 01 - Hands On Mahout - Mammoth Scale Machine Learning - Robin Anil and Ted Dunning 00:45:55
- Part 02 - Hands on Mahout - Mammoth Scale Machine Learning - Robin Anil and Ted Dunning 00:35:05