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MDM 301 – Metadata Modeling Design and Implementation

Duration: 3 - 5 days

This course provides participants with a practical, in-depth understanding of why metadata modeling is important to the success of the MME and how to deliver the best metadata models for your organization. Through case studies and team interaction, attendees will attain the real-world implementation skills necessary to build a successful metadata model and integrate industry standards into their meta models.

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Description

Metadata models are a critical component of a Managed Metadata Environment (MME). Their quality impacts the entire MME project since a flawed model compounds all other technical problems. However, creating high-quality models is one of the most difficult tasks to undertake; the stakes are high, and the task is intellectually very deep and demanding. Design of the metadata models is the foundation on which the rest of the metadata infrastructure rides—you must do them right and understand them.

All designs are compromises. A good design finds the balancing point for all the forces that constrain it. The forces at play in metadata modeling require extensibility and extreme flexibility. Without these traits in a high-quality metadata model, long-term metadata repository success is jeopardized. This class will show you how to initially construct and achieve extensibility and flexibility in your metadata model.

Metadata becomes very powerful when it integrates information across a wide domain compared to stove-piped metadata. The domains can cover business processes, databases, application systems, XML, data warehouses, EAI systems, and more. Without a cohesive model for that integration, the integration will have great difficulty, and the resulting metadata repository will be much less useful. This class helps you understand how to make integrated models. It will also provide a foundational set of integrated metadata models and lessons from relevant metadata standards, including ISO11179, CWM, DMTF, MDA, and other related standards.

The class is workshop-focused since design concepts are best learned from doing. The final workshops are oriented to solving problems that you have in your current projects. The workshops allow you to learn how the design forces interact, how a design evolves, and how to design in flexibility and extensibility.

This course provides participants with a practical, in-depth understanding of why metadata modeling is important to the success of the MME and how to deliver the best metadata models for your organization. Through case studies and team interaction, attendees will attain the real-world implementation skills necessary to build a successful metadata model and integrate industry standards into their meta models.

Objectives

You will understand:

  • Importance of good quality metadata models.
  • How to successfully define your meta model requirements.
  • The process of metadata model design.
  • Principles of metadata model design.
  • A set of metadata models covering a very broad domain.
  • Metadata standards and how to apply them.
  • Technical challenges in a managed metadata environment (MME).

You will:

  • Develop solutions to your own metadata model problem area.
  • Know how to evaluate commercial metadata tools based on their metadata models.
  • Learn how to work collaboratively to gain better design.

Seminar Content

  • Foundations of modeling
    • Modeling abstractions
    • Level of abstraction in a model
    • Identifying metadata requirements
    • Design Forces
    • Metadata models differences
  • Implementation issues
    • Foundational technologies
    • Supporting application system
    • Reporting
  • A systems view of metadata
    • Metadata system
  • Driving metadata system design requirements
    • MME development challenges
  • Designing models of metadata
    • How to evaluate design
    • Evaluate the design process
    • What makes for good design in metadata models
    • Understanding metadata models use
    • Need for flexible designs
    • Architecture impacts
  • Standards
    • Concepts
      • Basic technology
      • Design forces impacting the standard
      • Essence of the standard and its goals
      • Application and use of the standard
    • Standards examined:
      • DMTF – Distributed Management Task Force – Common Information Model Used to model IT systems and management
      • OMG’s Common Warehouse Metadata model (CWM) Covers the metadata models for data warehousing
      • OMG’s MDA – Model Driven architecture – the metadata driven vision of the future of systems development
      • The Open Information Metadata model – A predecessor to the CWM but covers some other areas too
      • ISO 11179 – Metadata Specification and standardization of data elements
      • Others
  • Integrated metadata models
    • Foundation for Universal metadata models
    • Essential parts of the IT infrastructure
    • Starting points for further designs and use
  • Evaluating metadata tools based on their metadata models
  • Final workshop on student’s own metadata model problem
    • Students are encouraged to bring metadata models they are currently using or developing for refinement

About the Course Designer

This training was designed by David Marco, PhD, an internationally recognized authority on data and AI governance, to help teams succeed in real organizational conditions. The curriculum equips participants with practical judgment, shared language, and decision clarity that hold under scale, risk, and executive accountability.

David Marco PHD EWSolutions

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