Reliable pipelines come from architecture, not bug fixes. Covers the four pipeline layers, building DAGs instead of scripts, dependencies, and failure handling.
Tools change every few years, principles do not. Learn a five-question framework, systems thinking, failure-first design, and anti-patterns to avoid.
Seven data modeling mistakes and fixes: undefined grain, cryptic names, skipped conceptual models, over-normalizing, thin docs, and ignored governance.
Data Vault modeling explained: Hubs hold business keys, Links hold relationships, and Satellites hold history, plus how to expose Data Vault data for analytics.
