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Computer Science Department Colloquium
12/17/2013 11:00 am
CoRE A(Room 301)

Data Stream Warehousing

Dr. Theodore Johnson, AT&T Labs - Research

Faculty Host: Tina Eliassi-Rad and Sucheta Soundarajan

Abstract

Data stream warehousing combines the real-time data loading of data stream management systems and the long histories and deep analytics of data warehouses.  AT&T generates many diverse high-volume data streams as part of its normal operations.  To make full use of this flood of data, we have been developing technologies for data stream warehousing, allowing analysts to develop applications such as data mining, alerting, and troubleshooting tools across multiple data sources, for example in the Darkstar data warehouse.  Data stream warehousing exposes some unique data management problems.  In this talk, I introduce data steam warehousing, the challenges that real-world data feeds present, and a collection of technologies for handling these problems.

Bio

Theodore Johnson received a B.A in Mathematics from Johns Hopkins University in 1986, and Ph.D. from New York University in 1990.  From 1990 to 1996 he was an Associate Professor at the Computer and Information Science department of the University of Florida.  In 1996 he joined the Database research department of AT&T Labs - Research.  Theodore has developed several systems in widespread use at AT&T, including the Bellman data quality browser, the GS Tool data stream management system for network packet analysis, and the DataDepot data stream warehousing system.  Dr. Johnson became an AT&T Fellow in 2011.