Metadata Management and Data Cataloguing

Course Category : Data Management

A specialised programme for establishing effective metadata management and data cataloguing practices that strengthen governance, data discoverability, information quality, and enterprise data control.
Duration: 5 Days
Level: Intermediate to Advanced

Introduction

As enterprise data environments expand in scale and complexity, understanding what data exists, where it originates, what it means, and how it relates to other information assets has become fundamental to effective data governance. Metadata management therefore extends beyond documentation to provide essential context for discovery, control, quality, and trusted data use.
This course examines the institutional methods required to manage metadata and establish effective data cataloguing capabilities. It addresses metadata classification, business glossaries, data lineage, catalog architecture, governance responsibilities, operating controls, and performance measures required to sustain discoverable, understandable, and governed enterprise data assets..

Targeted Audience

Data Governance Managers and Professionals
Data Managers and Data Engineers
Metadata Management Professionals
Data Quality Specialists
Data and Information Architects
Data and Business Analysts
Information and Records Management Professionals
Data Owners and Data Stewards
Digital Transformation and Enterprise Data Professionals

Targeted Skills

Metadata Classification and Management
Metadata Model and Repository Design
Business Glossary Development and Management
Enterprise Data Catalogue Structuring
Data Lineage and Source Traceability
Metadata Governance Controls
Data Ownership and Stewardship Definition
Metadata Quality and Completeness Measurement
Enterprise Data Discovery and Reuse

Expected Outcomes

Differentiate technical, business, and operational metadata and determine their enterprise applications.
Establish a structured metadata management framework aligned with data governance.
Design appropriate structures for enterprise data catalogues and business glossaries.
Map relationships, sources, and flows of data assets through data lineage.
Define clear responsibilities for data owners, stewards, and technical stakeholders.
Establish measures for metadata quality, completeness, and currency.
Improve the discoverability, understanding, and controlled use of enterprise data.
Develop a sustainable operating model for metadata management and data cataloguing.

Training Topics Index

Metadata concepts and their role in enterprise data management
Business, technical, and operational metadata
Metadata lifecycle, creation sources, and maintenance
Relationship between metadata, data governance, and data quality
Principles for developing an enterprise metadata strategy

Business glossary design and enterprise terminology standardisation
Definition of data elements, business concepts, and data indicators
Taxonomies, hierarchies, and semantic relationships
Definition, conflict, approval, and change management
Mapping business terminology to technical data assets

Data catalogue architecture and core components
Data asset registration, classification, and metadata enrichment
Search, discovery, and contextual understanding of data assets
Ownership, stewardship, and certification within the catalogue
Measuring catalogue completeness, accuracy, and currency

Data lineage concepts and enterprise relevance
Tracking data sources, movements, and transformations
Relationships across systems, datasets, and reporting assets
Change impact analysis through data lineage
Applying traceability to governance, quality, compliance, and risk management

Metadata management policies, standards, and controls
Responsibilities of data owners, stewards, and technical stakeholders
Metadata creation, review, approval, and maintenance workflows
Performance indicators for coverage, quality, and utilisation
Roadmap for sustainable metadata management and data cataloguing capabilities

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

Metadata Management and Data Cataloguing