About
This course provides an in-depth exploration of Metadata Management as defined within the DAMA Body of Knowledge (DAMA-DMBOK®). Metadata Management is described in the DMBOK as “the planning, implementation, and control activities to enable access to high quality, integrated metadata.”
In this course, participants will gain a detailed understanding of the purpose, structure, and strategic value of metadata in the modern data ecosystem.
"Metadata is structured information that describes, explains, locates, or otherwise makes it easier to retrieve, use, or manage an information resource. Metadata is often called data about data or information about information."
— National Information Standards Organization
The course explores the definitions, types, usage, and implementation of metadata with practical examples and real-world application. It also addresses why metadata is essential to any data-driven organisation, the distinctions between data and metadata, how metadata supports governance and compliance, and the technologies and architectures used to manage metadata, including data catalogues, lineage systems, and metadata repositories.
Where is this course available?
This course is available In-Person in Doha, Qatar, Dubai, Abu Dhabi in UAE & Riyadh in Saudi Arabia, Muscat in Oman and Amman in Jordan as well as being available Online Worldwide.
Learning Objectives
By the end of this course, participants will be able to:
Define and classify different types of metadata and their business applications
Understand the role of metadata in data governance, data quality, and regulatory compliance
Plan and implement metadata strategies aligned with enterprise data initiatives
Use metadata to support data discovery, lineage, impact analysis, and policy enforcement
Integrate metadata from multiple systems and manage its lifecycle
Evaluate tools and architectures used for metadata management, including data catalogues and repositories
Who Is This DAMA Data Management Metadata Training Course For?
This course is intended for data professionals who work across governance, architecture, analytics, and compliance functions and need to establish or enhance metadata capabilities across their organisation.
Roles:
Metadata Managers and Architects
Data Governance Professionals
Data Stewards and Data Quality Leads
Data Engineers and Integration Specialists
BI/Analytics Developers and Data Scientists
Information Architects
CDMP® candidates specialising in Metadata
Industries:
Finance and Banking
Government and Public Sector
Pharmaceuticals and Healthcare
Telecommunications
Utilities and Energy
Retail and E-commerce
Higher Education and Research
Insurance and Risk
Media and Technology
Transport and Logistics
Why Should You Take This DAMA Metadata Management Course?
Structured around the internationally recognised DAMA-DMBOK2 framework
Provides foundational and advanced knowledge of metadata’s strategic and operational role
Equips professionals with the skills to implement metadata initiatives that support data governance, lineage, and compliance
Builds fluency in key metadata tools and architectures used across data-driven enterprises
Helps organisations gain greater value from their data through enhanced discoverability and trust
Prepares professionals for CDMP® certification in Metadata Management
Prerequisites
There are no formal prerequisites for this course.
However, it is recommended that participants have:
A good understanding of general data management concepts
Experience working in data governance, quality, analytics, or architecture roles
Familiarity with data catalogues, data lineage, or metadata concepts will be helpful
This course is ideal for those who have already completed a data management foundation course or have practical experience managing enterprise data assets.
Please note that MENA Executive Training is an independent training provider and is not affiliated with or endorsed by DAMA International. This course is intended solely to help participants prepare for the DAMA International certification examination.
Modules
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Module 1: Introduction to Metadata and DAMA-DMBOK® Context
What is metadata? Definitions and conceptual foundations
Metadata Management in the DAMA-DMBOK® framework
The business case for managing metadata
Common metadata challenges in organisations
Activities:
Group discussion: How do you use metadata today?
Case review: Identify metadata gaps in real-world use cases
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Module 3: Metadata Architectures and Repositories
Centralised vs. federated metadata architectures
Metadata repositories, registries, and catalogues
Interoperability and metadata integration
Use of standards such as DCAT, Dublin Core, ISO 11179
Activities:
Compare features of leading metadata repositories
Design a metadata architecture for a hypothetical organisation
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Module 4: Metadata Capture and Automation
Manual and automated metadata collection
Metadata extraction from data pipelines and ETL processes
Metadata APIs and auto-discovery tools
Metadata in cloud and hybrid environments
Activities:
Identify metadata that can be auto-captured in your organisation
Exercise: Map a data pipeline and trace metadata capture points
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Module 5: Metadata Usage – Discovery, Lineage, and Impact Analysis
Using metadata for data discovery and classification
Data lineage and provenance tracking
Impact analysis for change management and audit readiness
Visualising and navigating metadata
Activities:
Workshop: Trace data lineage using metadata for a sample use case
Practice impact analysis based on metadata relationships
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Module 6: Metadata Governance and Stewardship
Roles of metadata stewards and metadata owners
Policies and standards for managing metadata
Metadata quality and lifecycle management
Aligning metadata practices with data governance frameworks
Activities:
Draft a metadata policy for an enterprise system
Role-play: Metadata stewardship responsibilities
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Module 7: Metadata Tools and Technology
Overview of metadata management tools (Collibra, Alation, Informatica, Talend, etc.)
Key features to evaluate in metadata platforms
Integration with data governance, quality, and analytics tools
Activities:
Compare tool features using vendor case studies
Hands-on: Explore a metadata catalogue demo environment
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Module 8: Strategic Metadata Management and Implementation Roadmap
Aligning metadata strategy with business goals
Building metadata into enterprise data initiatives
Phased implementation approach
Change management and user adoption
Activities:
Create a metadata implementation roadmap for your organisation
Group presentation: Justify metadata investment to a business audience

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