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Should you move code to data or data to code? Conventional wisdom favors the former, but cloud trends push the latter. This session by the creator of PACELC explores the shift, its risks, and the ongoing debate in data virtualization between push- and pull-based processing.
Daniel Abadi is the Darnell-Kanal Professor of Computer Science at the University of Maryland, where he performs research on database system architecture and implementation, especially at the intersection with scalable and distributed systems. He is best-known for the development of the storage and query execution engines of the C-Store (column-oriented database) prototype and deterministic, scalable, transactional, distributed systems such as Calvin. An ACM Fellow and recipient of numerous awards, Abadi received his PhD in 2008 from MIT. He blogs at DBMS Musings and tweets at @daniel_abadi.
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