Building Your First Data Pipeline: What Nobody Tells You
A first data pipeline succeeds when it is treated as a managed data product with clear consumers, service levels, security controls, and measurable data quality. This article outlines a practical reference architecture, common operational realities (schema change, backfills, monitoring), and best practices from data management, architecture, and analytics engineering disciplines.
·3 min read