Designing A Data Lineage Initiative : Requirements and Implementation Approach

Categories: Metadata Governance
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About Course

This course focuses on designing a feasible data lineage initiative. It starts by classifying lineage needs and translating stakeholder expectations into general, horizontal, and vertical requirements. You then assess enterprise coverage, documentation method, scope parameters, direction, management style, and metadata-management maturity. Practical templates help connect business drivers and critical data chains with implementation choices. The result is a justified approach that teams can scope, govern, and implement.

What Will You Learn?

  • Distinguish metadata and value data lineage.
  • Classify lineage by layer, direction, and method.
  • Define general, horizontal, and vertical requirements.
  • Scope lineage around critical business information.
  • Assess documentation and implementation choices.
  • Test feasibility against metadata-management maturity.

Course Content

Data Lineage Requirements
This topic focuses on translating stakeholder expectations into requirements for a data lineage initiative. It begins by distinguishing lineage types and classifying functional requirements. You will examine general requirements for visualization, navigation, traceability, and analysis. The remaining lessons address horizontal lineage at different abstraction levels and vertical connections between them. Practical examples and templates support the development of requirements before selecting implementation solutions.

  • Classifying Data Lineage
    08:35
  • Conceptual Understanding
  • Analytical Thinking
  • Classifying Data Lineage Requirements
    04:27
  • Conceptual Understanding
  • Analytical Thinking
  • Providing General Requirements
    13:58
  • Conceptual Understanding
  • Analytical Thinking
  • Providing Requirements for Horizontal DL
    05:23
  • Conceptual Understanding
  • Analytical Thinking
  • Providing Requirements for Vertical DL
    08:23
  • Conceptual Understanding
  • Analytical Thinking

Data Lineage Implementation Approaches
This topic examines the factors that determine a feasible approach to implementing data lineage. You will assess enterprise coverage, documentation method, scope parameters, documentation direction, and project management style. The topic also examines how Metadata Management maturity influences implementation feasibility. Practical assessment templates help evaluate these factors, compare alternative approaches, and justify the decisions required to plan a data lineage initiative.

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