Hypertable - Managing Data at Web Scale

Location: Regency 2 Level: Intermediate
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Hypertable is an open source, high performance, distributed database modeled after Google’s Bigtable. It differs from traditional database technology in that the design emphasis is on scalability on commodity hardware as opposed to support for ACID transactions and the relational model. Hypertable supports massive sparse tables of data, sorted by a single primary key, a design which has proven to be well-suited for scalable Web 2.0 applications. This presentation will include an architectural overview, a demo of the system, performance studies, and some details of Baidu’s deployment.

Photo of Doug Judd

Doug Judd

Zvents, Inc.

Doug has over a decade of software engineering experience in the area of distributed computing and information retrieval. He joined Inktomi’s Web Search division in 1997 where he held both engineering and management positions.
During his five year tenure, he designed and developed large-scale distributed systems, including significant pieces of the crawling and indexing software. Doug later joined Kosmix, Inc., where he built a distributed web crawler and scaled it to a billion documents. Earlier in his career he worked as an engineer at Verity, helping to develop VDK, the core developer toolkit. Doug currently holds the position of Principal Search Architect at Zvents,
Inc., a local search engine. His primary responsibility is to lead the development of Hypertable, a next generation, high performance, scalable, database. Doug earned a B.S. in Computer Science from U.C. Santa Barbara in 1992 and holds four patents in search technology.

  • Keynote Systems
  • Google
  • Shopzilla
  • Aptimize
  • Facebook
  • NeuStar
  • Rackspace Cloud
  • Schooner Information Technology
  • SoftLayer
  • SpringSource
  • Sun Microsystems

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