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SUMMARY:IC Colloquium : Data Exploration Challenges in the Age of Big Data
DTSTART:20160922T161500
DTEND:20160922T173000
DTSTAMP:20260407T045513Z
UID:8b9195fc8c40d31cd68f9b08c5b477bf5a93e8f5cb6e76892c202cda
CATEGORIES:Conferences - Seminars
DESCRIPTION:By : Surajit Chaudhuri - Microsoft ResearchAbstract:\nAs we co
 ntinue to accumulate variety of data at an unprecedented rate\, the comple
 xity of formulating data exploration queries as well as the cost of execut
 ing such queries continue to grow. Therefore\, reducing both the complexit
 y of query formulation as well as the cost of executing exploratory querie
 s is becoming increasingly important. We begin by discussing an example-dr
 iven approach to formulating data exploration queries to simplify the chal
 lenge of query formulation. We then reflect on why approximate query proce
 ssing techniques that promise to reduce cost of exploratory queries have s
 o far failed to gain adoption. We comment on implications of some of the r
 ecent developments in approximate query processing and conclude with a few
  open challenges.Bio:\nSurajit Chaudhuri is a Distinguished Scientist at M
 icrosoft Research and leads the Data Management\, Exploration and Mining g
 roup. As a Deputy Managing Director of MSR Redmond Lab\, he also has overs
 ight of Distributed Systems\, Networking\, Security\, Programming language
 s and Software Engineering groups. His current areas of interest are enter
 prise data analytics\, data discovery\, self-manageability and cloud datab
 ase services. Working with his colleagues in Microsoft Research\, he helpe
 d incorporate the Index Tuning Wizard (and subsequently Database Engine Tu
 ning Advisor) and data cleaning technology into Microsoft SQL Server. Sura
 jit is an ACM Fellow\, a recipient of the ACM SIGMOD Edgar F. Codd Innovat
 ions Award\, ACM SIGMOD Contributions Award\, a VLDB 10-year Best Paper Aw
 ard\, and an IEEE Data Engineering Influential Paper Award. Surajit receiv
 ed his Ph.D. from Stanford University in 1992.More information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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