Distributed Data

Leaders, followers, quorums, and the consistency trade-offs of replicated data.

Splitting data across nodes — key-range vs hash partitioning, rebalancing, and routing.

ACID, isolation levels, and the path to serializability.

Networks, clocks, and partial failures — why distributed systems are fundamentally uncertain.

Linearizability, ordering, and reaching agreement in distributed systems.