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: Foundations
Introduction and Pre-assessment
Drivers, Goals and Principles
Essential Concepts of Data Architecture
Assignments and Recap
Context Diagram
Techniques and Tools
Implementation and Governance
Day 2: Design & Review
Recap
Design Review
Implementation Roadmap
Subject Area Modelling
Data Model Scorecard
Data Flow Design
To-Be Architecture
Day 3: Lineage & Value
Recap
Data lineage
Requirements and Scoping
Data-Value Chain
Data-as-a-Service
Post-Assessment
Case Study Integration (Optional)
Design Review
DA Maturity Assessment
Enterprise Data Model
Data Flow and 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
