Distributed Data Management — Sharding, Replication, and Conflicts
Understand how distributed databases handle data across multiple nodes through sharding, replication, eventual consistency, and conflict resolution.
A single database server can handle a lot. Modern PostgreSQL on good hardware can manage millions of rows, thousands of concurrent connections, and complex queries without breaking a sweat. Most applications never outgrow a single database.
But some do. Maybe your data is so large that it does not fit on one disk. Maybe your read traffic is so heavy that one server cannot keep up. Maybe regulations require data to exist in multiple geographic regions simultaneously. Maybe you need your database to survive the failure of an entire data center.
When a single database is not enough, you enter the world of distributed data — where your information is spread across multiple machines that must coordinate to present the illusion of a single, coherent database. The techniques that make this wor
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