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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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avatar for Peter Bailis

Peter Bailis

Stanford University
Professor
Stanford, CA
Peter Bailis is an assistant professor of computer science at Stanford University. Peter's research in the Future Data Systems group (http://futuredata.stanford.edu/) focuses on the design and implementation of next-generation data-intensive systems. His work spans large-scale data management, distributed protocol design, and architectures for high-volume complex decision support. He is the recipient of an NSF Graduate Research Fellowship, a Berkeley Fellowship for Graduate Study, best-of-conference citations for research appearing in both SIGMOD and VLDB, and the CRA Outstanding Undergraduate Researcher Award. He received a Ph.D. from UC Berkeley in 2015 and an A.B. from Harvard College in 2011, both in Computer Science.

My Speakers Sessions

Thursday, May 19
 

11:10am