Web-Scale Data Management

Raghu Ramakrishnan, Chief Scientist, Audience and Cloud Computing, Yahoo!

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Abstract

Raghu Ramakrishnan

I will present an overview of many large-scale data challenges at Yahoo!, and the approaches we are taking to solving them. I will begin by considering some of the driving applications, including Yahoo!’s many portals, web search, and social networking. I will then discuss some of the technology that underpins these applications, including content optimization and targeting, information extraction, and cloud computing infrastructure for data analysis, warehousing and serving.

Bio

Raghu Ramakrishnan is Chief Scientist for Audience and Cloud Computing at Yahoo!, and is a Yahoo! Fellow, heading the Web Information Management research group. His work in database systems, with a focus on data mining, query optimization, and web-scale data management, has influenced query optimization in commercial database systems and the design of window functions in SQL:1999. His paper on the Birch clustering algorithm received the SIGMOD 10-Year Test-of-Time award, and he has written the widely-used text “Database Management Systems” (with Johannes Gehrke). Ramakrishnan has received several awards, including the ACM SIGKDD Innovations Award, the ACM SIGMOD Contributions Award, a Distinguished Alumnus Award from IIT Madras, a Packard Foundation Fellowship in Science and Engineering, and an NSF Presidential Young Investigator Award. He is a Fellow of the ACM and IEEE.

Ramakrishnan is on the Board of Directors of ACM SIGKDD, and is a past Chair of ACM SIGMOD and the Board of Trustees of the VLDB Endowment. He was Professor of Computer Sciences at the University of Wisconsin-Madison, and was founder and CTO of QUIQ, a company that pioneered question-answering communities, powering Ask Jeeves’ AnswerPoint as well as customer-support for companies such as Compaq.