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Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Barzan Mozafari

Barzan Mozafari
Assistant Professor, University of Michigan, Ann Arbor

Website

Barzan Mozafari is an assistant professor of computer science and engineering at the University of Michigan, Ann Arbor, where he leads a research group designing the next generation of scalable databases using advanced statistical models. Previously, Barzan was a postdoctoral associate at MIT. His research career has led to many successful open source projects, including CliffGuard (the first robust framework for database tuning), DBSeer (the first automated database diagnosis tool), and BlinkDB (the first massively parallel approximate query engine). Barzan has won the National Science Foundation CAREER award as well as several best paper awards in ACM SIGMOD and EuroSys. He is also a cofounder of DBSeer and a strategic advisor to SnappyData, a company that commercializes the ideas introduced by BlinkDB. Barzan holds a PhD in computer science from UCLA.

Sessions

11:1511:55 Thursday, 25 May 2017
Visualization & user experience
Location: Capital Suite 17
Level: Beginner
Barzan Mozafari (University of Michigan, Ann Arbor)
Average rating: ****.
(4.50, 4 ratings)
Visualization and exploratory analytics require subsecond interactions with massive volumes of data, a goal that has remained illusive due to numerous inefficiencies across the stack. Barzan Mozafari offers an overview of Verdict, an open source middleware that guarantees subsecond visualization and analytics and works with Impala, Spark, Hive, and most other engines in the Hadoop ecosystem. Read more.