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.
What to validate and when : the data testing pyramid, schema tests, row-level assertions, regression testing, and integration with CI/CD pipelines.
