Welcome to the home page of the Data Management Research Group at Brown University's Department of Computer Science. Our research group is focused on a wide-range of problem domains for database management systems, including analytical (OLAP), transactional (OLTP), and scientific workloads.

Latest News

Accepted Papers Q1/2016

March 25th, 2016
  • Demo Paper “Making the case for Query-by-Voice with EchoQuery“  accepted to SIGMOD 2016
  • Vision Paper “The End of Slow Networks: It’s Time for a Redesign” accepted to VLDB 2016
  • Research Paper “Making Distributed Transactions Scale” accepted to NeDBDay 2016
  • Research Paper “Estimating the Impact of Unknown Unknowns on Aggregate Query Results” accepted to SIGMOD 2016

Independent Study Request (Spring 2016)

January 27th, 2016

Please fill out this form if you want to do an independent study with us. Topics include but are not limited to:

  • Scalable Data Management on RDMA (i-Store)
  • Visual Data Exploration (VizDom)
  • Scalable Machine Learning (TupleWare)

 

Fall 2015 talks

November 20th, 2015
Date Guest Title
10/6 Laura and Peter Haas (IBM) Department wide talks
10/7 Peter Shah (NetApp Adv. Tech. Group) Lamassu: Storage-Efficient Host-Side Encryption
10/21 Derek Merck (Brown) Image display, medical imaging and model-based image analysis
10/28 Sanjay Krishnan (UC Berkeley) SampleClean: Scalable and Reliable Analytics on Dirty Data
11/4 Jean-Daniel Fekete (Inria) Progressive Analytics: a New Language Paradigm for Scalability in Exploratory Analytics
11/11 Stratos Idreos (Harvard) Exploring Data with Data Systems that are Easy to Use, Tune and Design
11/18 Arnab Nandi (Ohio State Uni) Querying Without Keyboards: Challenges in Gesture-driven Data Exploration
12/9 Holger Pirk (Postdoc, MIT) TBD