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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concepts of parallel and distributed databases, including shared memory, shared disk, and shared nothing architectures. It explains parallel scans, sorting, hash joins, query optimization, and complex query plans. The instructor discusses parallel DBMS architectures, partitioning strategies, and parallel query execution. The lecture also delves into distributed databases, data storage, dataflow networks, and distributed query processing. It concludes with topics on distributed transactions, locking mechanisms, deadlock detection, recovery, and the two-phase commit protocol.
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