Seattle Conference on Scalability: Abstractions for Handling Large Datasets

Posted in Conferences, Companies, Science, Development on July 12, 2007

Seattle Conference on Scalability: Abstractions for Handling Large Datasets

Google Tech Talks
June 23, 2007


2007 Google Seattle Conference on Scalability: MapReduce, BigTable, and Other Distributed System Abstractions for Handling Large Datasets Jeff Dean, Google, Inc.

Search is one of the most important applications used on the internet, but it also poses some of the most interesting challenges in computer science. Providing high-quality search requires understanding across a wide range of computer science disciplines, from lower-level systems issues like computer architecture and distributed systems to applied areas like information retrieval, machine learning, data mining, and user interface design. In this talk, I'll highlight some of the behind-the-scenes pieces of infrastructure that we've built in order to operate Google's services.

Jeff Dean joined Google in 1999 and is currently a Google Fellow in Google's Systems Infrastructure Group. While at Google he has worked on Google's crawling, indexing, query serving, and advertising systems, implemented several search quality improvements, and built several major pieces of Google's distributed computing infrastructure. He received a Ph.D. from the University of Washington in 1996 working with Craig Chambers on compiler optimization techniques for object-oriented languages.

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