Data Lineage in CDGC: A Practical Guide to Key Categories and Setup Approaches - Part 2

This webinar is designed for data governance professionals, data stewards, solution and data architects, cloud data engineers, and technical users involved in understanding or implementing data lineage using Informatica CDGC. Building on the foundations covered in Part 1, we will explore how data lineage is applied and extended across various platforms and scenarios where automated technical lineage is not feasible. The session will introduce inferred (AI-powered) lineage, custom lineage, and lineage imported from other catalogs, explaining when each approach is appropriate. We will also cover business lineage and demonstrate how multiple lineage sources can be combined within CDGC, followed by best practices and common pitfalls. By the end of the webinar, you will understand the possibilities for ingesting and displaying lineage in CDGC. Lineage options beyond automated technical lineage will be explained, and a practical demo will provide key concepts and best practices for attendees to apply in their Data Governance implementations.
Here is the agenda for this session:
  • Introduction and quick recap of Part 1
  • Inferred (AI-Powered) lineage
  • Custom lineage
  • Business lineage and governance context
  • Demo: Multi-source lineage scenario
  • Best practices
  • Common pitfalls
  • Q&A
 
Speakers:
  • Puneet Dudeja, Senior Solutions Architect, CSA
  • Rebecca South, Principal Customer Success Architect, CSA
  • Paul Urban, Senior Solutions Architect, CSA  

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