Data Architecture
How-To Plan Data
Course Duration: 3 Days
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This course is for all Data Architects, Data Engineers or Data Modellers
For course breakdown, click here
How-to Plan Data is a practical course of all the Data Architecture aspects contained in the DMBOK Version 2 Revised Edition in detail, providing techniques for all the activities and templates for all the deliverables and in some cases, the inputs. Data Architecture is defined as identifying the data needs of the enterprise (regardless of structure) and designing and maintaining the master blueprints to meet those needs. It includes using master blueprints to guide data integration, control data assets, and align data investments with business strategy.
Course Outline
Day 1: FoundationsÂ
- Introduction & Pre-assessment
- Drivers, Goals & Principles
- Essential Concepts of Data Architecture
- Assignments & Recap
- Context Diagram
- Techniques & Tools
- Implementation & Governance
Day 2: Design & ReviewÂ
- Recap
- Design Review
- Implementation Roadmap
- Subject Area Modelling
- Data Model Scorecard
- Data Flow Design
- To-Be Architecture
Day 3: Lineage & ValueÂ
- Recap
- Data Lineage
- Requirements & Scoping
- Data-Value Chain
- Data-as-a-Service
- Post-Assessment
Case Study Integration (Optional)Â
- Design Review
- DA Maturity Assessment
- Enterprise Data Model
- Data Flow & Value Chain
- Implementation Roadmap
Benefits of attending the Data Governance Course
Stay Compliant – Learn how to design a Data Architecture that meets business and regulatory requirements.
Make Better Decisions – Understand how structured data systems deliver accurate, timely insights.
Clarify Roles – Define responsibilities for managing Data Architecture, improving collaboration across teams.
Promote Scalable Design – Build skills to support flexible, future-ready data environments that grow with your organisation
Who should attend?
Data Architects
Any Data Professional involved in strategic planning for enterprise data
Data Engineers
Data Modellers
