Lecture
This lecture covers the concept of replicated consistency in parallel DBMS, discussing the reasons for data partitioning and replication. It delves into ACID properties on partitions, the importance of fault tolerance through replication, and the spectrum of consistency levels. Various consistency models are explored, such as strong consistency and eventual consistency, along with their implications on system performance and availability. The lecture also touches on real-world examples and the challenges of programming eventually consistent systems, leading to a discussion on the tradeoffs between consistency, performance, and availability in replication schemes.