Surge — A Scalability & Performance Conference, presented by OmniTI.

Surge 2011 Keynote & Speaker List

Discussing Scalability Matters...

...because scalability matters. Surge is a chance to identify emerging trends and meet the architects behind established technologies. Learn from their mistakes and see how their victories can power your business forward.

John Hugg Panelist

John Hugg Senior Software Engineer, VoltDB

John Hugg has spent his entire career working with databases and information management. At the start of 2008, he was lured away from a Ph.D.program by Mike Stonebraker to work on what became VoltDB. As the first engineer on the product, he liaised with a team of academics at MIT, Yale and Brown who were building H-Store, VoltDB's research prototype. Then he helped build the world-class engineering team at VoltDB to continue development of the open source and commercial products. John has Bachelors and Masters of Science in Computer Science from Tufts University.

John's Talks

Taming the Big Data Fire Hose

Time: 11-11:45 a.m., September 29th

Location: Veterans Room

The term Big Data describes a new class of database applications that need to process massive data volumes in two disparate states—real time and historical. In either state, the requirements of Big Data applications vastly exceed the capabilities of traditional, one-size-fits-all database systems. Most Big Data applications require MPP scale-out architectures and have the following characteristics:

  • A "fire hose" data source such as an HTTP streams, sensor grid or other machine-generated data
  • A real-time database capable of ingesting, organizing and managing high volume inputs
  • A persistent data storage and analysis infrastructure capable of managing petabyte+ historical databases

In this talk, we will introduce a simple formula for all Big Data applications: Big Data = Fast Data + Deep Data. Through a use-case format, we will discuss the specialized requirements for real-time ("fast") and analytic ("deep") data management. We'll also explore ways in which popular business intelligence solutions can be used to implement real-time and historical analytics.

Panel Discussion

Pushing Big Data to the Cloud

Time: 5-6 p.m., September 29th

Location: TBD

Half of the pundits claim that The Cloud is the future. The other half warn us that Big Data is coming. Real engineers know these two don't always marry easily. How do we build systems that really scale, inside or outside the cloud? What conventional approaches don't work? What new approaches are available? What must we sacrifice from using them, and what do we gain in return? How do the economics really shake out? What does the CAP theorem really mean? Which things you've heard about the cloud are just hype, and which are really revolutionary?

We are announcing the 2011 line up of speakers and sessions starting on May 19th. One each day, in no particular order.

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