Applied Data Lineage: Mapping and Managing Your Data Pipelines

As data ecosystems grow in complexity, understanding how data flows, transforms, and lands across your systems becomes critical. This comprehensive text-based course guides you through the foundational concepts and practical strategies of data lineage, helping you build trust in your data pipelines. You will learn how to map data journeys, identify dependencies, troubleshoot pipeline failures quickly, and meet strict regulatory compliance standards. By understanding how data moves through your organization, you can confidently prevent breaking changes and improve overall data quality. What you'll learn: Understand the core principles, terminology, and business value of data lineage; Map data flows across databases, ETL tools, and business intelligence platforms; Implement modern metadata collection standards like OpenLineage to automate tracking; Analyze upstream and downstream dependencies to perform reliable impact analysis; Troubleshoot data pipeline failures and trace data quality issues back to their source; Integrate data lineage practices into modern data governance and compliance frameworks. The course begins with essential definitions and foundational concepts of metadata management before guiding you through practical mapping techniques and modern automation strategies. You will progress from manual documentation methods to understanding automated pipeline tracking in production environments. This course is designed for beginner data analysts, junior data engineers, and data governance professionals who want to understand how data moves through modern systems. No advanced programming or database administration experience is required. Start building transparent, reliable, and compliant data pipelines today.