Leveraging Bing's Data Assets for Enterprise Applications
, Microsoft Research
Date: Wednesday, October 09, 2013
Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone
Refreshments: 3:45 PM
Location: Patil/Kiva (32-G449)
Host: Sam Madden
Contact: Sheila M. Marian, 617-253-1996, firstname.lastname@example.org
Speaker URL: None
TALK: Leveraging Bing's Data Assets for Enterprise Applications
Abstract: In this talk, we will discuss how we can leverage Bing's data assets for enterprise scenarios. Specifically we will describe an entity synonym service that leverages Bing's query log. Such a synonym service may be consumed by enterprise search engines to enhance recall in search scenarios (e.g., product search for E-tailers). We will also provide a demonstration of another service (Microsoft Power Query) that enhances Excel with the ability to search for relational tables on the web. Both of these services resulted from close collaboration among Bing, SQL Server, and Microsoft Research. We will end the presentation with discussions of a couple of important open problems in Big Data as well as an overview of some other projects on data platforms and analytics we are pursuing at MSR.
Surajit Chaudhuri is a Distinguished Scientist at Microsoft Research. His current areas of interest are enterprise data analytics, self-manageability and multi-tenant technology for cloud database services. Working with his colleagues in Microsoft Research and the Microsoft SQL Server team, he helped incorporate the Index Tuning Wizard - and subsequently Database Engine Tuning Advisor - into Microsoft SQL Server. He initiated a project on data cleaning at Microsoft Research whose technology now ships in Microsoft SQL Server. Surajit is an ACM Fellow, a recipient of the ACM SIGMOD Edgar F. Codd Innovations Award, ACM SISGMOD Contributions Award, a VLDB 10 year Best Paper Award, and an IEEE Data Engineering Influential Paper Award. He was the Program Committee Chari for ACM SIGMOD 2006, a Co-Chair of ACM SIGKDD 1999, and has served on the editorial boards of ACM TODS and IEEE TKDE. Surajit received his Ph.D. from Stanford University and B.Tech from the Indian Institute of Technology.
This talk is part of this year's Big Data Lecture Series.
Created by Sheila M. Marian at Thursday, October 03, 2013 at 10:10 AM.