Goetz Graefe   2017 SIGMOD Edgar F. Codd Innovations Award Professor Goetz Graefe is the recipient of the 2017 ACM SIGMOD Edgar F. Codd Innovations Award for his foundational contributions to the architecture and implementation of database query optimizers. Details: Goetz Graefe has been a professor, product architect, and industrial researcher. He has published tutorial surveys […]

The term of the current Editor-in-Chief (EiC) of the ACM Journal on Data and Information Quality (JDIQ) is coming to an end, and the ACM Publications Board has set up a nominating committee to assist the Board in selecting the next EiC. JDIQ was established in 2008 and has been quite selective, accepting approximately 20% […]

Nomination Deadline March 1, 2017 In 1992, ACM SIGMOD started the Annual SIGMOD Innovations Award and SIGMOD Contributions Award as part of its Awards Program. In 2004, SIGMOD, with the unanimous approval of ACM Council, renamed the Innovations Award in honor of Dr. Edgar F. (Ted) Codd (1923 – 2003), who invented the relational data […]

Donald Kossmann JANUARY 19, 2017 SIGMOD 2017 ANNOUNCEMENT Dear members of the SIGMOD/PODS Community: On January 16 (Martin-Luther-King Day in the USA), the SIGMOD Executive Committee decided to move the ACM SIGMOD/PODS 2017 conference out of North Carolina to a new, still undecided location. The decision was made unanimously by the Committee following extensive discussions […]

The SIGMOD Executive Committee decided to move the SIGMOD / PODS 2017 Conference to a different location. Please, do not book flights to North Carolina or make other travel arrangements at the moment. We are currently looking for a new venue. Furthermore, the SIGMOD Executive Committee will make an announcement explaining the reasons and impact […]

The ACM announced its 2016 Fellows.  The SIGMOD community did quite well, congratulations to Marten Kersten, Robert Grossman, Louiqa Rashid, and Sudipta Sengupta!

ACM SIGMOD is pleased to present the 2016 SIGMOD Jim Gray Doctoral Dissertation Award to Paris Koutris. Koutris completed his dissertation titled “Query Processing for Massively Parallel Systems” at the University of Washington under the supervision of Dan Suciu. The thesis brings a set of fundamental contributions to the understanding of the complexity associated with […]

For their Paper Entitled “Robust and Fast Similarity Search for Moving Object Trajectories”. Robust and Fast Similarity Search for Moving Object Trajectories Lei Chen, M. Tamer Özsu, Vincent Oria Original Abstract: An important consideration in similarity-based retrieval of moving object trajectories is the definition of a distance function. The existing distance functions are usually sensitive to […]

  Christopher Ré is a computer scientist democratizing big data analytics through theoretical advances in statistics and logic and groundbreaking data-processing applications for solving practical problems. Ré has leveraged his training in databases and deep knowledge of machine learning to create an inference engine, DeepDive, that can analyze data of a kind and at a […]