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Data Warehouse Lifecycle Class Overview

Apr 30, 2025

Data Warehouse Lifecycle Class at Kimble University

Overview

  • Target audience: Project teams new to data warehousing and business intelligence design.
  • Focus: Technical and managerial perspectives on deploying complex systems.

Course Structure

Planning Responsibilities

  • Importance of a checklist for planning complicated systems.
  • Three threads of different plans pursued in parallel.

Understanding Business Requirements

  • Core responsibility: Identify business requirements of the target client.
  • Skill development: Eliciting true needs from business users.
  • Avoid asking: "What do you want in a data warehouse?"
    • Instead, ask: "How do you excel in your role?"
    • This technique fosters comfort for business users and encourages open discussion.

Gathering Data

  • After obtaining business insights, students should:
    • Search for data that supports business requirements.

Dimensional Modeling Approach

  • Dimensional Modeling: Kimbell Group's authoritative approach.
  • Course includes roughly a day and a half on dimensional modeling.
  • Serves as a springboard for further study in a full four-day class.

Technical Aspects

Extract, Transform, Load (ETL) Operations

  • Discussed in the context of physical database design.

Business Intelligence (BI) Tools

  • Designing BI tools to be user-friendly and accessible.

Deployment Criteria

  • Assess readiness to deploy the system:
    • Training for users.
    • User expectations.
    • Data in final usable form (not just prototypes or demonstrations).
  • Emphasis on not rushing designs until users are ready.

Planning for Growth

  • Importance of planning for future growth and regular system checkups.

Alignment with Agile Methodology

  • Course approach parallels agile development methodology:
    • Business-oriented focus.
    • Empowering business users to control projects.
    • Emphasis on short-term deliverables.
  • Agile practitioners often find the Kimbell approach comfortable.

Conclusion

  • Overall, the lifecycle class offers a comprehensive overview of the data warehouse design process, blending technical skills with business acumen.