Course Code: dmbk7
Duration: 21 hours
Prerequisites:
  • CDMP Fundamentals
Overview:

The course covers Metadata Management within the DAMA Body of Knowledge (DMBoK®) in depth. Metadata Management is defined in the DMBoK as “the planning, implementation, and control activities to enable access to high quality, integrated metadata.” This course covers all the key areas around metadata and Metadata Management. That includes an in-depth discussion around definitions, usage, and implementation of metadata, as well as practical examples. It also explores why organizations need metadata, the differences between data and metadata, types of metadata, architectures, lineage, benefits, and the relationship between Data Governance and Metadata Management.

Purpose

To understand the importance, position, and role of metadata and Metadata Management for organizations and data professionals.

Outcome

  • Understand why Metadata Management is a key data discipline
  • Explore a wide range of different types and other essential elements of metadata
  • Discuss metadata standards, benefits, sources, and more
Course Outline:
  • Metadata Management and the DMBoK
    • DAMA DMBoK Wheel
  • What is Metadata and Metadata Management
    • Metadata Every Day
    • Metadata Covers the 6 Interrogatives of Data
    • Why Do We Need Metadata?
    • Data vs. Metadata
    • Metadata Adds Context & Definition
  • Types of Metadata
    • Business Metadata
    • Technical & Operational Metadata
    • Process Metadata
    • Data Stewardship Metadata
  • Metadata Management and Other Data Management Disciplines
    • Metadata Architecture
    • Metadata Usage
    • Models, Metadata & Data Governance
    • Major Data Governance Aspects Held in Metadata
      • Business Glossary
      • Data Stewardship
      • Data Standards
      • Privacy & Security
      • Traceability & Audit
  • Data Lineage
    • Why is Data Lineage Important?
    • What can Data Lineage Provide?
    • What Benefits can Data Lineage Provide?
    • Data Lineage
      • Regulatory Requirements
      • Data Migration Design-Consistency
      • Legacy Data Take On
      • Source to Target Mapping
      • Reverse Engineer & Generate ETL
      • Impact Analysis
  • Sources and Benefits of Metadata
    • Types & Typical Sources of Metadata
    • Industry Metadata Standards
    • Industry Metadata Implementations
      • EXIF (Exchangeable image file format)
      • ID3 Metatags
      • EDID (Extended Display Identification Data)
      • OASIS (Open Archival Information System)
    • Benefits of Metadata Management
    • Enterprise Data Management Connections to Metadata
  • Wrap Up
    • Key Takeaways