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
Architectural Anti-patterns for Data Handling - Gleicon Moraes
Distributed Data Analysis with Hadoop and R - Jonathan Seidman and Ramesh Venkataramaiah
Facebook Messages and HBase - Nicolas Spiegelberg
Optimizing MySQL to Let People Argue - Jeremy Bingham
Big Data For Less Dealing with Large Data Sets on a Startups Budget - Kate Matsudaira
Designing and Implementing Asynchronous Distributed Systems: Challenges, Strategies, and a Million Things That Go Wrong - Scott
Lumberyard: Time Series Indexing at Scale - Josh Patterson
Part 01 - Consistency or Bust - Breaking a Riak Cluster - Jeffrey Kirkell
Part 02 - Consistency or Busy - Breaking a Riak Cluster - Jeffrey Kirkell
Esperwhispering: Get Your Real-Time Data Game On - Theo Schlossnagle
Part 01 - The Hitchhikers Guide to A Kaggle Competition - Krishna Sankar
Part 02 - The Hitchhikers Guide to A Kaggle Competition - Krishna Sankar
What Every Programmer Needs to Know About Disks - Ted Dziuba
Part 01 - Hands On Mahout - Mammoth Scale Machine Learning - Robin Anil and Ted Dunning
Part 02 - Hands on Mahout - Mammoth Scale Machine Learning - Robin Anil and Ted Dunning