
Explore the structural and organizational concepts in Collibra, including critical data elements represented as asset types, across business semantic glossary, reference data management, policies, data sharing, and model risk governance.
Collibra defines an asset as the fundamental building block used to capture information, with each asset belonging to exactly one domain, having a unique name, and possessing characteristics and attributes.
Identify asset characteristics by exploring attributes that capture information (descriptions, last modified date, PII, column position) and bidirectional relations that connect assets like business terms and code values.
Learn to build a Collibra data governance setup by creating a community with subcommunities, defining domains as country codes and country glossaries, and mapping code values to glossaries with assets.
Explore how a business glossary governs terms, processes, reports, and KPIs with definitions, relationships, and policies in Collibra, establishing ownership and a common language for data-driven decisions.
Get Started with Collibra Data Steward Certification: Data Quality & Observability – A Beginner’s Guide
The Collibra Data Steward Certification Platform – Data Quality & Observability is a powerful solution that leverages advanced Data Science and Machine Learning to proactively manage data quality. By enabling issue detection through continuous observation rather than manual input, Collibra significantly reduces the time required to surface data problems—from months to minutes.
This course is designed specifically for beginners who have never used the Collibra platform for Data Quality & Observability. We focus on Collibra’s core features, providing a clear and practical introduction without overwhelming you with advanced technical complexity. If you are looking for a deep technical or advanced-level course, this may not be the right fit.
What You’ll Learn in Collibra:
Navigating the Collibra platform interface
Understanding core concepts (Community, Domain, Asset, Asset Types, etc.)
Connecting Collibra to data sources
Importing and exporting metadata
Assigning validation and data quality rules
Managing the Business Glossary and Data Dictionary
Raising and tracking issues via the Data Helpdesk
Asset ownership, responsibilities, and diagram views
Real-world case studies in EV and Banking sectors
Running data quality jobs in Collibra
Understanding data quality scoring and monitoring
Detecting data outliers and applying rules
Using scheduling, scorecards, and exploration tools
Generating reports and managing alerts
Admin configurations and best practices
Advanced Collibra Governance & Integration Topics
This comprehensive course also equips data professionals with practical, hands-on knowledge to effectively implement enterprise data governance using the Collibra platform.
You will gain experience working within the Collibra Data Intelligence Cloud and learn how to:
Understand Collibra’s architecture and operating model
Configure domains, communities, and assets
Build and manage Business Glossaries
Develop workflows using BPMN and Groovy
Integrate Collibra with external systems using REST APIs
Enable collaboration across business and technical teams
Strengthen compliance, governance, and data quality frameworks
This course is ideal for professionals who are new to Collibra and Data Stewardship. If you already have extensive experience with Collibra, you may find this course foundational. However, if you're just starting your governance journey, this provides a strong and structured base — along with practical tips and real-world insights to accelerate your growth.
Ready to get started with Collibra?
Enroll today and I’ll see you in the first lesson!