Seattle Conference on Scalability: Abstractions for Handling Large Datasets
Google engEDU
1 hr – Jun 23, 2007
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.
video
http://video.google.com/videoplay?docid=-2727172597104463277
- Download: “Seattle Conference On Scalability: Abstractions For Handling Large Datasets” (video/mp4)
Tags: abstract, c, computer, http, lan, search, server