A practical, end-to-end guide to mastering data lineage using modern tools and platforms.
Data lineage has become a foundational capability in the age of AI, analytics, and cloud transformation — yet most professionals struggle to understand it clearly or apply it practically.
What you’ll learn
- Understand what data lineage is and why it matters in the AI era.
- Trace data flows from source systems to dashboards and machine learning models.
- Support regulatory and audit use cases with lineage frameworks.
- Build trust in business reporting and AI models.
- Implement lineage using dbt, DataHub, and enterprise governance tools.
- Perform impact analysis and root cause investigations.
Course Content
- Introduction –> 1 lecture • 5min.
- Data Lineage Fundamentals –> 2 lectures • 4min.
- Data Lineage Concepts –> 1 lecture • 5min.
- Data Lineage Architecture –> 1 lecture • 5min.
- Types of Data Lineage –> 1 lecture • 4min.
- Data Lineage Process –> 1 lecture • 4min.
- Impact of Data Lineage –> 1 lecture • 4min.
- Data Lineage Tools –> 2 lectures • 16min.
- Conclusion –> 1 lecture • 3min.
Requirements
Data lineage has become a foundational capability in the age of AI, analytics, and cloud transformation — yet most professionals struggle to understand it clearly or apply it practically.
This course simplifies data lineage from first principles and takes you through real-world architectures, modern tooling, and practical implementation strategies. You’ll learn how data moves across systems, how it transforms, and how lineage enables trust, governance, and AI readiness.
Whether you’re working with dashboards, pipelines, or machine learning models, this course will help you confidently explain where data comes from, how it changes, and why it matters.
By the end of this course, you’ll be able to:
• Read and interpret data lineage diagrams
• Design lineage architecture for modern data stacks
• Understand tools like dbt, DataHub, Informatica, and Collibra
• Support audit, compliance, and AI initiatives with traceability
This is not theory — this is practical, enterprise-ready knowledge designed for real-world data teams. You will work through hands-on examples, realistic case studies, and step-by-step walkthroughs that mirror how lineage is implemented in actual enterprise environments. The focus is on clarity, repeatability, and building skills you can apply immediately in your current role or future projects. You will also gain confidence to communicate lineage concepts with business and technical stakeholders.