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Turing Award Winner Michael Stonebraker, Donald B. Gillies Memorial Lecture: "My Top Ten Fears About the DBMS Field"

Event Type
Lecture
Sponsor
CS Illinois
Location
1404 Thomas M. Siebel Center for Computer Science
Date
Apr 9, 2018   4:00 pm  
Speaker
Dr. Michael Stonebraker
Views
30
Originating Calendar
ECE ILLINOIS Calendar

#204064: WIREchange - Turing Award Winner Michael Stonebraker, Donald B. Gillies Memorial Lecture: "My Top Ten Fears About the DBMS Field"

"My Top Ten Fears About the DBMS Field"
Dr. Michael Stonebraker

Stream live on YouTube.

In this talk, I present my top ten fears about the future of the DBMS field, with apologies to David Letterman.  There are three “big fears”, which I discuss first.  Five additional fears are a result of the “big three”.  I then conclude with “the big enchilada”, which is a pair of fears.  In each case, I indicate what I think is the best way to deal with the current situation.

Bio:  Dr. Stonebraker has been a pioneer of data base research and technology for more than forty years.  He was the main architect of the INGRES relational DBMS, and the object-relational DBMS, POSTGRES.  These prototypes were developed at the University of California at Berkeley where Stonebraker was a Professor of Computer Science for twenty five years.  More recently at M.I.T. he was a co-architect of the Aurora/Borealis stream processing engine, the C-Store column-oriented DBMS, the H-Store transaction processing engine, the SciDB array DBMS, and the Data Tamer data curation system. Presently he serves as Chief Technology Officer of Paradigm4 and Tamr, Inc.

Professor Stonebraker was awarded the ACM System Software Award in 1992 for his work on INGRES.  Additionally, he was awarded the first annual SIGMOD Innovation award in 1994, and was elected to the National Academy of Engineering in 1997.  He was awarded the IEEE John Von Neumann award in 2005 and the 2014 Turing Award, and is presently an Adjunct Professor of Computer Science at M.I.T, where he is co-director of the Intel Science and Technology Center focused on big data.

 

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