Lecture
This lecture covers the concept of eventual consistency in distributed systems, exploring how NoSQL databases handle failures and replication. It delves into the CAP theorem, which highlights the trade-offs between Consistency, Availability, and Partition Tolerance. The instructor explains the transition from ACID properties to BASE principles, emphasizing the importance of soft state and eventual consistency. Various strategies for tracking mutable, replicated state are discussed, including synchronous and asynchronous replication, read and write quorums, and setting parameters for fast response times. The lecture also touches on the challenges of ensuring strong consistency in distributed systems and the implications of different quorum settings on system performance.