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Building large data applications can present a unique set of technical challenges because things that often work well in the conventional development environment can become incredibly arduous or expensive when applied on a much bigger scale. This talk will cover some of those challenges and potential solutions for each – in particular the talk with be targeted at towards people who want to leverage lots of data, but are also trying to keep their costs under control.
Here are some examples:
The talk format will be technical in nature, going through the points above as well as some system design and architecture options that can impact your budget. Attendees will come away with some creative ideas to save money on their “big data” applications and a detailed insight into how some of these items have worked in production.
Kate Matsudaira fills the role as Vice President of Engineering at SEOmoz where she is responsible for managing the core technology team. Prior to SEOmoz, she filled the role of VP Engineering at another startup, Delve Networks (acquired by Limelight). At Delve she helped create and monetize a very large distributed system used for online video delivery and video search. Prior to that she worked in at other leading technology companies like Amazon.com, Microsoft, and Sun Microsystems. Kate has extensive knowledge of building large scale distributed web systems, web services, and search. Kate has a B.S. in Computer Science from Harvey Mudd College, and has completed graduate work at the University of Washington in both Business and Computer Science (M.S.).