MM0: Metadata Management Learning Plan

In the Metadata Management Learning Plan, instructor Donna Burbank examines the many facets of Metadata Management necessary to develop a comprehensive program. This series of six courses will teach you the value of metadata, processes, implementation, and best practices. It discusses effective Metadata Management practices, varied metadata types, meta models, metadata repositories, the selling of Metadata Management to stakeholders, how to do a maturity assessment, architecture, storage, sources of metadata, and much more. If all six courses are completed, a certificate of completion will be awarded.

Learning Plan Price: $399
Individual Course Price: $79
Learning Plan CEUs: 3.5 hours

Each Course Includes:

  • A 26- to 53-minute educational training video
  • A 13- to 24-question exam
  • Materials made available for download once the exam has been completed
  • Self-paced and on-demand e-learning
  • Unlimited course access

Courses within the Metadata Management Learning Plan:

  1. What Is Metadata?
  2. The Business Value of Metadata
  3. Sources of Metadata
  4. Metamodels and Metadata Standards
  5. Metadata Architecture, Integration, and Storage
  6. Metadata Strategy and Implementation

We offer several bulk licensing options for corporate and group use.
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Metadata Management Learning Plan

MM1: What Is Metadata?

  • Definition of Metadata
    • Creating Context
    • Characteristics
    • Relationships
  • Data vs. Metadata
  • Types of Metadata
    • Data Lineage
    • Impact Analysis
    • Design Layers
    • Graphs
  • Importance & Relevance

MM2: The Business Value of Metadata

  • Metadata’s Importance to the Business
    • Wasted Costs
    • Brand Damage
    • Financial Reporting & Audit
    • Big Data Analytics
    • Efficiencies – Reuse
    • Agility & Change Management
    • Data Governance

MM3: Sources of Metadata

  • There are Many Sources and Types of Metadata
    • Relational databases
    • Data Models
    • Text Documents
    • XML
    • Open Data
    • Internet of Things (IoT)
    • Photos / Images
    • Social Media
    • COBOL Copybooks
    • Application Code
    • Data Transformation / ETL Tools
    • Spreadsheets
    • Data Quality Tools
    • Business Process Models
    • Business Intelligence (BI) Tools
    • ERP, CRM, and Packed Applications
    • Big Data platforms
    • there are many more

MM4: Metamodels & Metadata Standards

  • What are Metamodels?
    • A Data Model for Metadata
    • Framework
    • Meta Levels
    • Semantic Web and RDF
  • The Importance of Metamodels
  • What are Metadata Registries?
    • An Example
    • ISO/IEC11179
    • Sample Metamodel
  • Metadata Standards
    • Data Warehousing
    • Industry Standard vs. Tool-Specific Metamodels
    • Open Data Standards
    • Sample JSON
    • Dublin Core
    • Schema.org

MM5: Metadata Architecture, Integration, and Storage

  • Architectural Options for Metadata Management
    • Discovery Tools
    • Common Metamodel
    • Data Warehousing Example
    • Reuse and Matching
    • Customization
    • Integration and Export
  • Components of a Metadata Repository Solution
    • Reuse and Matching
    • Customization
  • Integration, Publication, and Sharing
    • Integration and Export

MM6: Metadata Strategy & Implementation

  • Creating a Metadata Strategy for Your Organization
    • Business Drivers
    • Stakeholder Needs
    • Align with Business Priorities
    • Internal and External Drivers
    • Stakeholder Matrix
    • Issue Matrix
    • Metadata Source Inventory
    • Technology Selection
    • Metadata Management Maturity Assessment
  • Metadata Implementation & Rollout
    • Identifying High-Priority Activities and “Quick Wins”
    • Defining an Actionable Roadmap
    • Roles and Responsibilities
    • Quality and Metrics
Milestone

Complete All Six Metadata Management Courses


1. MM1: What Is Metadata?

required
Course

Metadata is often seen as an abstract concept. On the contrary, it drives action by adding context and relevance to determine importance. This course sets the stage with a comprehensive discussion of the meaning, significance, and many components of Metadata Management, including business vs. technical metadata, data lineage, impact analysis, relationships, and more.

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2. MM2: The Business Value of Metadata

required
Course

This course delves into the importance of metadata to overall business success. It looks at why effective Metadata Management is essential to organizations of all sizes through a discussion around wasted costs, brand damage, financial reporting and audits, Big Data Analytics, efficiency and reuse, change management, business agility, value to Data Governance, and more.

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3. MM3: Sources of Metadata

required
Course

There are numerous different sources and types of metadata that organizations must deal with and effectively leverage today. This course examines a wide range of these, including relational databases, data models, XML, IoT data, application code, and various metadata sources such as ETL tools, business process models, BI tools, ERP and CRM systems, and Big Data platforms.

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4. MM4: Metamodels & Metadata Standards

required
Course

Many people are familiar with data models, which describe the core business entities and their associated relationships, definitions, and business rules. But metamodels are often confusing. A metamodel is a data model for metadata, which describes the core metadata objects, along with their relationships and associated business rules. This course examines metamodels and their importance, use, and implementation, as well as going into a deeper discussion about metadata registries, semantic web data, and metadata standards.

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5. MM5: Metadata Architecture, Integration, and Storage

required
Course

The course discusses how to create a well-designed metadata architecture with its various components, how that architecture helps in integrating metadata sources within the larger enterprise architecture, along with successful metadata storage practices. It also examines metadata discovery tools, data warehousing, business glossaries, model customization, publication and reporting, and more.

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6. MM6: Metadata Strategy & Implementation

required
Course

Having a well-defined metadata strategy is an essential component for an effective Metadata Management program. This course considers the many elements of building such a strategy and how it affects architectural decisions. It also discusses the importance of aligning Metadata Management with business priorities, internal vs. external drivers, and working with and selling metadata to stakeholders. It provides many different examples of tools to use for building a metadata strategy, how to do a maturity assessment, build a roadmap, and do inventory and usage mapping.

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ENROLL IN THIS LEARNING PLAN TODAY

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