8 docs tagged with "data fundamentals"

Preserve cause-before-effect visibility across replicas without global total order.

Core data concepts every engineer should master: modeling, transactions & isolation, indexing, consistency models, and lifecycle.

From ingest to archive: govern data through creation, processing, storage, serving, retention, and deletion.

Replicas converge over time—high availability and low latency with stale‑read trade‑offs.

Ground yourself in core architecture, systems thinking, paradigms, and data basics to make sound design decisions.

Design indexes and shape queries to reduce IO, avoid hotspots, and meet latency SLOs.

All reads reflect the latest successful write—simpler reasoning at higher latency/cost.

Understand ACID transactions and isolation levels to prevent anomalies in concurrent systems.