Moderator

Raghu Ramakrishnan
(Yahoo! Research)

Raghu Ramakrishnan is Chief Scientist for Audience & Cloud Computing, and a Fellow at Yahoo!, where he heads the Community Systems group. He has been 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.

His research is in the area of database systems, with a focus on data mining, online communities, and web-scale data management. He has developed scalable algorithms for clustering, decision-tree construction, and itemset counting, and was among the first to investigate mining of continuously evolving, stream data.

His work on query optimization and deductive databases has found its way into commercial database systems, and his work on extending SQL to deal with queries over sequences has influenced 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" (WCB / McGraw-Hill, with J. Gehrke), now in its third edition.

He is Chair of ACM SIGMOD, on the Board of Directors of ACM SIGKDD and the Board of Trustees of the VLDB Endowment, and has served as editor-in-chief of the Journal of Data Mining and Knowledge Discovery, associate editor of ACM Transactions on Database Systems, and the Database area editor of the Journal of Logic Programming.

Raghu is a Fellow of the Association for Computing Machinery (ACM), and has received several awards, including a Distinguished Alumnus Award from IIT Madras, a Packard Foundation Fellowship, an NSF Presidential Young Investigator Award, and an ACM SIGMOD Contributions Award.

Participants

Daniel Abadi (Yale Univ.),
Michael Carey (Univ. of California, Irvine),
Surajit Chaudhuri (Microsoft Research),
Hector Garcia-Molina (Stanford Univ.),
Jignesh M. Patel (Univ. of Wisconsin, Madison)

Title: Cloud Databases: What's New?

The panelists will discuss what characterizes data management in the cloud, and how this differs from the broad range of applications that conventional database management systems have supported over the past few decades. They will examine whether we need to develop new technologies to address demonstrably new challenges, or whether we can largely re-position existing systems and approaches.
The discussion will cover data analysis in the cloud using Map-Reduce based systems such as Hadoop, and cloud data serving (and so-called "No SQL" systems).