A step-by-step guide to building a semantic layer : from identifying core metrics to implementing views, documentation, and access policies.
A complete guide to semantic layers : what they are, what they contain, how they work in practice, and why AI agents and self-service analytics depend on them.
The complete data engineering best practices checklist : pipeline design, data quality, idempotency, schema evolution, testing, and observability.
Pipeline observability : the three pillars (metrics, logs, lineage), alerting strategies, and building dashboards that catch failures before users do.
