Replication: Strategies and Techniques

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Related lectures (14)

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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.

Eventual Consistency: NoSQL, CAP Theorem, and BASE

Explores NoSQL databases, CAP theorem, BASE principles, and eventual consistency in distributed systems.

Distributed Transactions: Principles and Protocols

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

Distributed Transactions: Architectures and Protocols

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

Distributed Transactions: Replication Strategies

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

Replication and Consensus in Distributed Systems

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

Parallel & Distributed DBMS

Covers the architecture of parallel databases, benefits of parallelism, distributed databases, and replication methods.

Parallel Databases

Explores parallel and distributed databases, covering architectures, query optimization, data storage, and distributed transactions.

Terminating Reliable Broadcast & NBAC

Explores Terminating Reliable Broadcast and Non-Blocking Atomic Commit in distributed systems, covering agreement, consensus, and transaction commitment.

Architecture of CockroachDB

Explores the architecture of CockroachDB, focusing on transaction management, concurrency control, and scalability.