Distributed Transactions: Replication Strategies

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Related lectures (32)

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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: Architectures and Protocols

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

Concurrency Control & Eventual Consistency

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

Architecture of CockroachDB

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

Replicated Consistency: Levels and Tradeoffs

Explores replicated consistency levels, tradeoffs, and implications on system performance and availability.

Replication: Strategies and Techniques

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

Concurrency Control & Recovery in Databases

Delves into transaction management, concurrency control, and recovery in databases to ensure data integrity and system resilience.

Relational Model: Basics

Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.

Querying a database: the SQL language

Covers the SQL language for interacting with databases through structured queries, including selecting, filtering, aggregating, and sorting data.