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.
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 architecture of parallel databases, including shared memory and shared disk systems. It explains the benefits of parallelism in databases, such as speed-up and scale-up. The lecture also delves into partitioned data storage, parallel sorting, and complex parallel query plans. Additionally, it discusses distributed databases, focusing on distributed data independence and distributed transaction atomicity. The concepts of distributed DBMS architectures, storing data, distributed catalog management, and distributed queries are explored. The lecture concludes with topics like asynchronous replication, distributed locking, primary site replication, and distributed deadlock detection.