Sponsors

  • 10gen
  • DataStax, Inc.
  • Dell
  • Google
  • Lexis Nexis
  • Oracle
  • VMware
  • Percona

Sponsorship Opportunities

For information on exhibition and sponsorship opportunities at the convention, contact Sharon Cordesse at scordesse@oreilly.com

Download the OSCON Data Sponsor/Exhibitor Prospectus

Media Partner Opportunities

For information on trade opportunities with O'Reilly conferences or contact mediapartners@ oreilly.com

Press and Media

For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com

OSCON Bulletin

To stay abreast of convention news and announcements, please sign up for the OSCON email bulletin (login required)

Contact Us

View a complete list of OSCON contacts

Add to your personal schedule
Location: C123
Tom Hanlon (Cloudera)
Average rating: ****.
(4.27, 11 ratings)
Hadoop gives you the ability to process massive amounts of data at scale. This presentation will show you how hadoop makes use of commodity hardware to allow you to build a system that scales, that deals gracefully with failure of individual nodes, and gives you the power of Map/Reduce to process Petabytes. Read more.
Add to your personal schedule
Location: C124
Owen O'Malley (HortonWorks)
Average rating: **...
(2.25, 4 ratings)
Adding security to an existing product is never easy, but our team at Yahoo added strong authentication to Apache Hadoop by integrating it with Kerberos. This project was delivered on time and is currently deployed on all of Yahoo's 40,000 Hadoop computers. Come learn how we added security to and why it matters. Read more.
Add to your personal schedule
Location: C121/122
Greg Fodor (Etsy)
Average rating: ***..
(3.75, 4 ratings)
The data & analytics teams at Etsy build up and tear down more than a thousand independent Hadoop clusters on EC2 each month. This talk discusses the benefits of this approach, where Elastic Map Reduce serves as a "meta-cluster" in which on-demand Hadoop clusters can be created, used, and shut down quickly and easily. Read more.
Add to your personal schedule
Location: C124
Arun Murthy (Hortonworks Inc.)
Average rating: ***..
(3.00, 4 ratings)
YARN is the next generation of Hadoop Map-Reduce designed to scale out much further while allowing for running applications other than pure Map-Reduce in a highly fault-tolerant manner. Read more.
Add to your personal schedule
Location: C123
Nicolas Spiegelberg (Facebook)
Average rating: ****.
(4.38, 8 ratings)
In November, Facebook launched a new version of Messages that combines chat, SMS, email, and Messages into a real-time conversation. Facebook relies on Apache HBase, a NoSQL-style database, for storing this real-time message data. This talk will elaborate on our decision process, system configuration, scaling issues, and advantages gained by choosing Open Source. Read more.
Add to your personal schedule
Location: C123
Josh Patterson (Cloudera)
Average rating: ***..
(3.75, 8 ratings)
Time Series sensors are being ubiquitously integrated in places like cell phones, environmental sensors, and the smart grid. As we scale out this type of data RDBMS systems strain to scale with the high insertion rates and real time query requirements. In this talk we introduce “Lumberyard” which is a scalable indexing and low latency fuzzy pattern searching time series data. Read more.