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Berkeley has helped lead database systems research for over a quarter century. Our research covers new challenges in data management as well as data-centric approaches to diverse areas including distributed systems, programming languages, statistical computation, human computing and interaction, and technology for developing regions.
User-centric data management for network-centric applications. Welcome to the ADMT Lab website. The Advanced Data Management Technologies Laboratory at the University of Pittsburgh is co-directed by Panos K. Katsipoulakis for passing his proposal defense! Posted December 22nd, 2017 by xiaoyu. Chrysanthis on his first three generation journal paper! Congratulations to Ana.
A hybrid of DBMS and MapReduce technologies targeting analytical query workloads. Designed to run on a shared-nothing cluster of commodity machines, or in the cloud. An attempt to fill the gap in the market for a free and open source parallel DBMS. As scalable as Hadoop, while achieving superior performance on structured data analysis workloads.