Course Code: dmbk8
Duration: 21 hours
Prerequisites:
  • CDMP Fundamentals
Overview:

The course covers Data Architecture and Lifecycle Management within the DAMA Body of Knowledge (DMBoK®) in depth. It dives deep into a discussion around Data Architecture, Enterprise Architecture, and Lifecycle Management. It covers types of architectures, proactive planning around the data lifecycles from inception and acquisition through provisioning, exploitation, and destruction. It also discusses the data value chain, differences between lifecycles and systems development, and alignment with business models.

Purpose

To understand the key components and importance of Data Architecture and Lifecycle Management for organizations and data professionals.

Outcome

  • Learn about many types and structures of Enterprise Architecture
  • Explore architecture frameworks
  • Discuss Information Lifecycle and SDLC comparisons and differences
  • Understand where these data disciplines sit within the greater ecosystem and how they benefit business outcomes
Course Outline:
  • Data Architecture and Lifecycle Management and the DMBoK
    • DAMA DMBoK Wheel
  • What Is the Information Lifecycle?
    • Enterprise Architecture Types and Structures
    • Enterprise Architecture Frameworks
    • Enterprise Architecture Types and Structures
      • Enterprise Architecture
      • Segment Architecture
      • Solution Architecture
    • Data Architecture Terms
    • Enterprise Architecture Domains
      • Business Architecture
      • Application Architecture
      • Data Architecture
      • Technology (Infrastructure) Architecture
    • Data Landscape
  • Models and Activities
    • Enterprise Data Model
    • Align with Other Business Models
    • Process and Data Model Relationship
    • Data Technology Architecture
    • What is the Information Lifecycle?
      • Plan: First Stage
      • Specify: Data Modeling Occurs
      • Enable: Infrastructure is Provisioned
      • Create & Acquire: Information is Acquired
      • Maintain & Use: Business Value is Derived
      • Archive & Retrieve: Information is Archived
      • Purge: Information is Deleted
  • Key Points
    • The Data Landscape is Critical to Monitor and Govern
    • Enterprise Data Model is the Fundamental Deliverable
    • Data Architecture Includes Architectural Guidelines
  • Wrap Up
    • Key Takeaways