Eventual Consistency: NoSQL, CAP Theorem, and BASE

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Related lectures (27)

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Distributed Transactions: 2PC Principles and Replication Strategies

Explores 2PC principles, failure scenarios, and replication strategies in distributed transactions and discusses the transition from ACID to BASE properties in NoSQL systems.

Distributed Transactions: Replication Strategies

Explores replication strategies for fault tolerance, load balancing, and eventual consistency in distributed transactions.

Replication: Strategies and Techniques

Explores replication strategies in distributed systems, covering synchronous, asynchronous replication, and conflict resolution.

Eventual Consistency: Principles of Reactive Programming

Explores eventual consistency in distributed systems, emphasizing the importance of suitable data structures like CRDTs.

Concurrency Control & Eventual Consistency

Covers concurrency control techniques and eventual consistency in databases, including two-phase locking, strict 2PL, and Dynamo's algorithm.

Replication and Consensus in Distributed Systems

Explores replication, consensus, Paxos algorithm, majoritarian consensus, and time-stop reservation in distributed systems.

Distributed Transactions: Architectures and Protocols

Explores parallel database architectures and distributed transaction protocols, focusing on coordination, concurrency control, and recovery challenges.

Eventual Consistency: Actors and Data Structures

Explores eventual consistency, actors in Scala, and the importance of suitable data structures for achieving consistency in distributed systems.

Eventual Consistency

Explores eventual consistency in distributed systems, discussing challenges, tradeoffs, and practical applications.

Distributed Transactions: Principles and Protocols

Explores distributed transactions, covering principles, protocols, concurrency control, commit, and replication.