In today’s data-driven landscape, organizations are increasingly dependent on accurate, accessible, and governed metadata to drive value from their data assets. The Managing Metadata and Data Catalogs Training Course is designed to equip professionals with the tools and techniques needed to organize, maintain, and leverage metadata effectively using enterprise-grade data catalog platforms. This 10-day intensive course explores strategies for metadata lifecycle management, active data cataloging, automated lineage, policy enforcement, and business glossary integration. Through hands-on practice and expert-led modules, participants will gain the critical competencies to support data discovery, governance, compliance, and analytics initiatives at scale.

Duration: 10 Days

Target Audience

• Data Stewards and Metadata Managers
• Data Engineers and Architects
• Data Governance Professionals
• Business Intelligence Developers
• Data Scientists and Analysts
• IT Compliance Officers
• Enterprise Architects
• Information Management Officers

Course Objectives

• Understand the principles and value of metadata management
• Learn to implement enterprise metadata standards and models
• Gain skills in selecting and deploying data catalog platforms
• Establish metadata-driven data governance frameworks
• Automate metadata ingestion and lineage capture
• Create and manage business glossaries and taxonomies
• Enhance data discoverability and classification
• Enable collaborative metadata stewardship workflows
• Integrate metadata into analytics and ML environments
• Enforce data access and usage policies via metadata
• Monitor metadata quality, versioning, and impact analysis

Course Modules

Module 1: Introduction to Metadata Management

• What is metadata and why it matters
• Types of metadata: technical, business, operational
• Metadata lifecycle stages
• Benefits to governance, analytics, and compliance
• Common metadata management challenges

Module 2: Enterprise Metadata Standards & Models

• Metadata modeling concepts
• Standards like ISO 11179 and Dublin Core
• Entity relationship modeling for metadata
• Aligning metadata models with business needs
• Mapping technical assets to business terms

Module 3: Data Catalog Fundamentals

• What is a data catalog and how it works
• Catalog components: search, lineage, tagging
• Comparing open-source and commercial catalogs
• Use cases across industries
• Cataloging structured and unstructured data

Module 4: Data Discovery and Classification

• Automated metadata discovery techniques
• Tagging, classification, and categorization
• Sensitivity detection and PII tagging
• Leveraging AI/ML for smart classification
• Organizing metadata using taxonomy

Module 5: Metadata Ingestion and Integration

• Techniques for ingesting metadata from sources
• APIs, connectors, and crawlers
• Scheduling metadata synchronization
• Metadata harvesting from lakes and warehouses
• Event-driven ingestion workflows

Module 6: Building and Managing Business Glossaries

• Difference between glossary and catalog
• Business term definition and approval
• Relationships and synonyms between terms
• Integrating glossary with catalog search
• Governance of glossary changes

Module 7: Metadata Lineage and Impact Analysis

• Capturing and visualizing data lineage
• Lineage at schema, table, and column levels
• Upstream and downstream dependency analysis
• Using lineage for impact and root cause analysis
• Change propagation and notification

Module 8: Metadata Governance and Stewardship

• Roles and responsibilities in metadata governance
• Setting policies and stewardship workflows
• Governance models: centralized, federated, hybrid
• Stewardship tools and collaboration
• Ensuring metadata quality and accuracy

Module 9: Data Catalog Deployment and Architecture

• Data catalog components and deployment models
• On-premise, cloud, and hybrid deployments
• Integration with security and identity systems
• Metadata storage and scalability
• Access control and role-based views

Module 10: Evaluating Data Catalog Tools

• Open-source options: Amundsen, DataHub, Apache Atlas
• Commercial platforms: Alation, Collibra, Informatica
• Feature comparison and selection criteria
• Licensing and pricing considerations
• Vendor support and extensibility

Module 11: Enhancing Search and User Experience

• Faceted search, autocomplete, and filtering
• Metadata enrichment for better UX
• Recommendation engines in data catalogs
• Bookmarking, annotations, and feedback
• Personalization and usage tracking

Module 12: Automating Metadata Workflows

• Metadata pipeline automation using CI/CD
• Policy triggers and automated validation
• Scheduling lineage refresh and quality scans
• Workflow orchestration with Airflow or Prefect
• Alerting on stale or incomplete metadata

Module 13: Metadata-Driven Access and Policy Enforcement

• Linking metadata to access control systems
• Tag-based access and masking rules
• Conditional access based on sensitivity
• Auditing metadata usage
• Policy enforcement and compliance reporting

Module 14: Metadata for Analytics and AI

• Using metadata in feature engineering
• Discovering reusable data assets
• Tracking model input/output lineage
• Ensuring explainability and transparency
• Metadata in MLOps pipelines

Module 15: Future of Metadata and Catalogs

• Trends: active metadata, knowledge graphs
• Metadata interoperability and APIs
• AI/ML enhancements for catalogs
• Self-service and crowdsourced metadata
• Building an enterprise metadata strategy

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.