Whether it's to adhere to regulations, access markets by meeting specific standards, or devise data analytics and AI strategies, companies today are busy implementing metadata repositories—metadata tools about the data, information, and knowledge in your company. Until now, most of these repositories have been implemented in isolation from one another, but this practice is at the core of problems with metadata management at large in many companies today.

Author Ole Olesen-Bagneux, chief evangelist at Zeenea, shows you how to masterfully manage your metadata repositories by properly coordinating them. That will help you and your organization democratize data and excel at metadata management. Coordination must be facilitated by an entirely new kind of team—the data discovery team—that will increase insights for all key players in enterprise metadata management, from the CIO and CDO to the enterprise and data architects of the company.

This book shows you how.

• Understand what metadata repositories are and what they do
• Learn what data, information, and knowledge should be represented in metadata repositories
• Learn how these repositories should be managed and coordinated
• Make data searchable by setting up a data discovery team
• Increase innovation by setting up a functional data marketplace
• Make information security and data protection more robust
• Solidify compliance on data lineage and retention
• Activate real enterprise architecture based on evidence
• Get a firmer, deeper understanding of your company IT landscape

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Spis treści

Fundamentals of Metadata Management. Uncover the Meta Grid and Unlock IT, Data, Information, and Knowledge Management eBook -- spis treści

• Foreword
• Preface
  • Why I Wrote This Book
  • Metadata Management Reinterpreted
  • Who This Book Is For
    • To the Chief Data Officer
    • To the Chief Information Officer
    • To the Chief Information Security Officer
    • To the Data Protection Officer
    • To the General Counsel
    • To the Head of Quality Assurance
    • To the Data Teams
    • To the Records and Information Manager
    • To the Enterprise Architect
  • Who This Book Is Not For
  • How This Book Is Organized
  • Conventions Used in This Book
  • OReilly Online Learning
  • How to Contact Us
  • Acknowledgments
• 1. Toward Holistic Metadata Management
  • Metadata Management Happens in Many Places
  • The Data Discovery Team
  • The Meta Grid: The Third Wave of Data Decentralization
    • Microservices
    • Data Mesh
    • Meta Grid
  • Summary
• I. Metadata Repositories for IT, Data, Information, and Knowledge Management
• 2. Metadata Repositories for the IT Landscape
  • What Is Metadata?
  • Types of Metadata in IT Landscapes
  • What Is a Metadata Repository?
    • Driver: The Many Waves of Metadata Repositories
      • Innovation
      • IT operations
      • Regulations
    • Purpose: Core Capability
    • Place: Metadata Repositories at Various Levels
    • Structure: The Metamodel in Metadata Repositories
  • Summary
• 3. IT Management
  • Endpoint Management System
  • Integration Repository
  • Asset Management System
  • Configuration Management Database
  • IT Service Management System
  • Enterprise Architecture Management Tool
  • Metadata Repositories for IT Management
  • Summary
• 4. Data Management
  • Data Catalog
  • Database Model Management
  • Other Metadata Repositories for Data Management
    • Data Warehouse
    • Data Lake
    • Data Lakehouse
    • Data Pipeline Tools
    • Data Quality Tools
    • Identity and Access Management
  • Rebundling of Data Management Technologies
  • Metadata Repositories for Data Management
  • Summary
• 5. Information Management
  • Records and Information Management System
    • Record-Retention Scenarios
    • The Organizational Aspect of RIMS
    • RIMS As a Metadata Repository
  • Information Security Management System
    • The Organizational Aspect of ISMS
    • ISMS As a Metadata Repository
  • Data Protection Repository
    • The Organizational Aspect of a DPR
    • DPR As a Metadata Repository
  • Business Process Management System
  • Metadata Repositories for Information Management
  • Summary
• 6. Knowledge Management
  • Content Management System
  • Knowledge Management System
  • Learning Management System
  • Quality Management System
  • Collection Management System
  • Metadata Repositories for Knowledge Management
  • Summary
• 7. Why We Have Been Doing Metadata Management Wrong
  • Different Practices Have Different Metamodels
    • Dark Metadata
    • Other Applications and Domains
  • A Possibility: The Coming Together of Teams and Technologies
    • Money
    • Structured Versus Unstructured
  • Summary
• II. Metadata Repositories Must Be Coordinated by a Data Discovery Team
• 8. The Good, the Bad, and the Ugly
  • Setting the Stage
  • The Good
  • The Bad
  • The Ugly
  • Summary
• 9. The Data Discovery Team
  • Our Problem: Managing Multiple Truths Across Teams
    • Conways Law
    • The Metadata Monolith
  • The Solution: The Data Discovery Team
  • What Is the Data Discovery Team?
    • On the Political and Technological Mess of Companies
    • Embracing the Multiple Truths and Providing a Way Forward
  • How the Data Discovery Team Collaborates
    • Collaborating with Enterprise Architects
    • Collaborating with the Data Protection Officer
    • Collaborating with the Chief Information Security Officer
    • Collaborating with Records and Information Management
    • Collaborating with Data Science Teams
  • Summary
• III. Metadata Repositories Should Be Connected in a Meta Grid
• 10. What Is the Meta Grid?
  • The Meta Grid Manifesto
    • The Meta Grid Is the Third Wave of Data Decentralization
    • The Meta Grid Unlocks Single-View-of-the-World Monoliths
    • The Meta Grid Is Never Finalized
    • The Meta Grid Is Simple, Small, and Slow
  • What the Meta Grid Is and Is Not
  • Documenting the Meta Grid
  • Examples of the Meta Grid
    • Data Types
    • Applications
    • Data Models
    • Integrations
    • Data Lineage
    • Servers
    • Organization
    • Processes
  • A Real-World Meta Grid Architecture
    • Questions
    • Answers
  • Summary
• 11. The Meta Grid Contextualized
  • You Dont Build the Meta GridYou Uncover It
  • Uncovering Unconscious Meta Grid Architectures
    • Data Driven (Ambition)
    • FinOps
    • Intake Funnel
  • The Meta Grid Is a Nuclear Architecture
    • Energy
    • Expansion
      • Expansion of domains
      • Expansion of metadata repository categories
      • Expansion of the same type of metadata repositories
      • Expansion of meta grid architectures
    • Explosion
  • Microservices, Data Mesh, and Meta Grid
    • Microservices in the Meta Grid
    • Data Mesh in the Meta Grid
    • Meta Grid Must Not Turn into Data Mesh or Microservices
  • Technologies That Support the Meta Grid
  • Summary
• 12. The Benefits of the Meta Grid
  • The Meta Grid Is Not a Technology
    • Better Overview of the IT Landscape
    • Smoothly Implemented Metadata Repositories
    • Empowered Owners of Metadata Repositories
    • More Secure Data Governance for Both Risk and Privacy
    • A Stronger Possibility of Data-Driven Innovation
    • Reduced Cost of the IT Landscape and Consultancy Support
    • Examples of Cost Reductions
    • A Greener IT Landscape
  • The Meta Grid Is a Technology
    • Create a Knowledge Graph of Metadata Across Metadata Repositories
      • Transformation
      • Time
    • Search the Meta Grid Conversationally with Generative AI
    • Perform the Meta Grid Automatically with Agentic AI
  • Summary
• 13. The Data Discovery Team and Meta Grid As a Team Topology
• Afterword
• Index