SpecsModelExplore
Overview
Actors
External Systems
Data Platform
Ingestion
Storage
Processing
Serving
Analytics UI
Governance
Data Catalog
Lineage Tracker
Quality Monitor
Access Control
SpecsModelExplore
Governance
OverviewGuideLinks and Communications
IDproduct.governance
DescriptionCatalog, lineage, quality and access control.
Keygovernance
Typesystem
TeamData Governance
Ownergovernance@dataplatform.example
Statusactive
TechnologiesOpenMetadata, Great Expectations
Attributesaudit: full, pillars: catalog,lineage,quality,access
Tags
Table of contents
Guide
Governance
System at a glance
Containers
Four pillars
Responsibilities
Related workflows

Guide

Governance

Governance is the trust layer of the data platform. It answers four questions every consumer asks before trusting a number: what is this dataset, where did it come from, is it good enough, and am I allowed to see it? Every pipeline run, query and dashboard publish is observable through this system.

Responsibility in one sentence

Catalog datasets with ownership, track lineage, enforce quality rules with incident response, and apply row/column access policies with a full audit trail.

System at a glance

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Containers

Data Catalog

Searchable registry of datasets, columns, owners and tier tags.

Lineage Tracker

Dataset-to-dataset graph built from pipeline lineage events.

Quality Monitor

Scheduled and on-demand quality checks with incident publishing.

Access Control

Row/column policies, masking rules and immutable audit log.

Four pillars

The Catalog Repository stores ownership, tier and tag metadata. Stewards curate entries via the Data Catalog API.

Responsibilities

  • Dataset metadata, ownership and tier classification.
  • End-to-end lineage graph and impact analysis.
  • Quality rule definitions, check execution and incident workflow.
  • Access policies, column masking and compliance audit trail.

Related workflows

Quality validation gates the nightly batch before gold tables update:

Access control is applied when an analyst publishes a dashboard:

Platform-wide guarantee

Governance aims for full audit coverage — every query, publish and policy change is recorded. When quality rules fail, downstream pipelines halt rather than propagate corrupt data.

Links and Communications

3 incoming links

Incoming Links(3)

Source objectLabelLink typeRelationRaw idRequiredDescription
Data Engineer

example-data-processing.actors.data_engineer

actor
manages quality in—linksproduct.governance——
Data Steward

example-data-processing.actors.data_steward

actor
governs through—linksproduct.governance——
Processing

example-data-processing.product.processing

system
reports lineage to—linksproduct.governance——