Skip to main content
Make Data Work
Oct 15–17, 2014 • New York, NY
Michael Stonebraker

Michael Stonebraker
Cofounder and Chief Technology Officer, Tamr

Website

Michael Stonebraker
is an adjunct professor at MIT CSAIL and a database pioneer who has been involved with Postgres, SciDB, Vertica, VoltDB, Tamr and other database companies. He co-authored the paper “Data Curation at Scale: The Data Tamer System,”
presented at the Conference on Innovative Data Systems Research (CIDR’13).

Dr. Stonebraker specializes in database management systems and data integration, and has been a pioneer of database research and technology for more than a quarter of a century. He is the author of scores of papers in this area. He was the main architect of the INGRES relational DBMS; the object-relational DBMS, POSTGRES; and the federated data system, Mariposa; and has started nine start-up companies to commercialize these database technologies and, more recently, Big Data technologies (Vertica, VoltDB, Paradigm4, Tamr). He was recently elected to the
National Academy of Engineering and the American Academy of Arts and Sciences

Sessions

11:00am–11:40am Thursday, 10/16/2014
Three Approaches to Scalable Data Curation
Hadoop & Beyond
 Location: 1 E20/1 E21
Michael Stonebraker (Tamr)
Average rating: ***..
(3.67, 12 ratings)
The explosion of internal data sources, external public data sources and feeds from the Internet of Things is causing a tsunami of diverse data sources for enterprises. Top-down data-integration tools and data scientist tools won’t scale to meet the demands of the modern enterprise. Learn how a scalable data curation platform can help enterprises connect and enrich their data to leverage it all. Read more.
11:50am–12:30pm Thursday, 10/16/2014
Office Hour with Michael Stonebraker (Tamr, Inc.)
Office Hour
 Location: Table A
Michael Stonebraker (Tamr)
Enterprise context is king: neither machine learning nor people alone can deliver it, and Michael can show you how to artfully combine the two. He’ll also talk to you about updating your traditional methods of data integration and curation in order to do everything you want with all the data you have. Read more.