Data Steward Certification : Learn Data Governance Collibra

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 how domains group assets by function, with domain types defining asset creation; business and technology domains house terms, data dictionaries, schemas, servers, and databases, each unique to its community.

Define how a community in Collibra groups people with responsibilities over assets and organizes root and sub communities and domains in a hierarchical structure with globally unique names.

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.

Explore how physical and logical data dictionaries define data structures, schema tables, columns, and data usage registries in Collibra, powering data assets and BI reports.

Explore a banking case study to build a physical data dictionary in Collibra, mapping schema, table, and column assets from the Hong Kong credit cards domain to illustrate data lineage.

Explore asset views in Collibra by importing and exporting metadata, configuring display options, filters, and a hierarchical view, and sharing customized views with stakeholders, including exporting as csv.

Learn how to import external data into Collibra using Excel or CSV, map columns to assets, properties, and relationships, and use test imports with a round-trip workflow.

Learn to export metadata, prepare an import view, map fields, and bulk import assets and country codes into Collibra, creating business terms and their relations while addressing common mapping errors.

Explore how governance assets define policies, domains, and validation rules in Collibra, including data usage registry, policy domain, and data quality domains. See how validation scripts determine asset validity.

Learn to add validation rules to assets in collibra by creating a validation rule domain, writing groovy validation scripts from documentation, and linking assets through assignments.

Explore asset types and assignments in Collibra, including attributes, relations, and domain types. Learn asset life cycle statuses and articulation scores along with data quality and validation rules.

Explore diagram view to visualize assets as nodes and relationships as edges, with configurable properties and overlays for community and domain, traversal strategies, capture a snapshot, pin it, and share.

Explore advanced Collibra workflows and integration with REST and Java APIs, building workflows and managing bulk attributes and bulk relationships as part of the data governance development track.