#data

Curated tools for analytics and tabular ML, document processing, and knowledge or data management.

Covers Command Query Responsibility Segregation, which splits read and write operations into separate models to improve performance, scalability, and security.

Explains storing every change to an entity as an immutable sequence of events in an append-only store, with materialized views, replay, snapshots, and trade-offs.

Explains emulating secondary indexes in NoSQL stores with separate index tables, comparing denormalized, normalized, and partially normalized layouts and their consistency costs.

Explains generating prepopulated, read-only views over source data to speed up complex queries, with event-driven or scheduled refresh and eventual-consistency trade-offs.