Sponsors

  • Microsoft
  • Nebula
  • Google
  • SugarCRM
  • Facebook
  • HP
  • Intel
  • Rackspace Hosting
  • WSO2
  • Alfresco
  • BlackBerry
  • CUBRID
  • Dell
  • eBay
  • Heroku
  • InfiniteGraph
  • JBoss
  • LeaseWeb
  • Liferay
  • Media Temple, Inc.
  • OpenShift
  • Oracle
  • Percona
  • Puppet Labs
  • Qualcomm Innovation Center, Inc.
  • Rentrak
  • Silicon Mechanics
  • SoftLayer Technologies, Inc.
  • SourceGear
  • Urban Airship
  • Vertica
  • VMware
  • (mt) Media Temple, Inc.

Sponsorship Opportunities

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

Download the OSCON Sponsor/Exhibitor Prospectus

Contact Us

View a complete list of OSCON contacts

Mingsheng Hong
Technical Marketing Specialist, Vertica, An HP Company

Website | Attendee Directory Profile

Mingsheng Hong is a technical marketing specialist at Vertica (an HP company), focused on connecting the product’s technical strengths with its business impact, as well as incubating new use cases on Big Data analytics. Prior to his marketing role, Mingsheng spent 3 years at Vertica as a software architect and engineer, leading the development of a number of core product features. Mingsheng obtained his Computer Science Ph.D. degree at Cornell University, where he pioneered Complex Event Processing (CEP) technology and built Cayuga, the world’s first expressive and scalable CEP engine. Mingsheng is also a co-founder of the Microsoft CEDR event processing project, which became the Microsoft StreamInsight technology shipped with Microsoft SQL Server 2008.

Sessions

10:40am Thursday, 07/28/2011
The Right Tool for the Job: Using Hadoop with a Purpose-Built Analytics Platform
Products & Services
 Location: E142
Mingsheng Hong (Vertica, An HP Company)
Average rating: **...
(2.00, 2 ratings)
When working with structured, semi-structured, and unstructured data, there is often a tendency to try and force one tool - either Hadoop or a traditional DBMS - to do all the work. But, there are reasons to use Hadoop for some analytics projects, and a purpose-built analytics platform for others. The magic comes in knowing when to use which and how these two tools can work together. Read more.