Duration
2 Days
Level
Architect
Prerequisites
Understanding of basic data concepts
Format
Onsite, Virtual, Hybrid
Certificate
Certificate of Participation
Audience
Architects, Leads, Senior Professionals
Who Should Attend
This training is ideal for:
Why Enterprise Data Architecture Matters
Many organizations invest heavily in cloud platforms, data lakes, analytics tools, and AI solutions.
Yet many initiatives fail because the architecture supporting them was never properly designed.
Common challenges include:
- • Data silos
- • Duplicate data
- • Poor governance
- • Inconsistent reporting
- • Integration complexity
- • Limited scalability
- • Difficult AI adoption
Enterprise Data Architecture provides the blueprint that connects business strategy, information assets, applications, governance, and technology.
A strong architecture creates consistency, trust, scalability, and business value — the foundation of effective Data Ecosystem Design and Modern Data Architecture.
Learning Outcomes
After completing this training, participants will be able to:
- Understand the role of Enterprise Data Architecture
- Align business objectives with data strategy
- Differentiate architecture domains and responsibilities
- Design modern enterprise data ecosystems
- Understand Data Warehouse, Data Lake, and Lakehouse architectures
- Evaluate Data Hub and Data Fabric concepts
- Understand Data Mesh and Federated approaches
- Design architecture layers for scalable data platforms
- Improve governance and data quality outcomes
- Prepare organizations for analytics and AI initiatives
Course Structure
Introduction to Enterprise Architecture
Understanding architecture as a business capability.
Architecture Domains
Business, Data, Application, and Technology Architecture — and how the four domains work together.
Modern Data Ecosystems
How information flows through modern organizations. Enterprise data lifecycle concepts.
Data Architecture Layers
Landing Zone, Staging Zone, Preparation Zone, and Semantic Zone — purpose and responsibilities of each layer.
Modern Data Platform Architectures
Data Warehouse, Data Lake, and Data Lakehouse — benefits, challenges, and use cases.
Data Integration Architectures
Data Hub, Virtualization, and API-Based Integration — modern integration approaches.
Advanced Enterprise Architectures
Data Fabric, Data Mesh, and Federated Data Architecture — domain ownership and governance models.
Governance and Trust
Data Governance, Metadata, Security, Privacy, and Data Quality — architecture considerations for trust and compliance.
AI-Ready Architectures
Feature Stores, Vector Databases, and Inference Layers — modern architectural considerations for AI and Agentic AI.
Data & AI Cognitive (DAC) Architecture
Overview of the DAC Architecture framework and how it brings together modern data and AI capabilities within a unified enterprise architecture.
Connecting Business and Technology
These domains work together to deliver business value through cohesive enterprise design.
Evolution of Enterprise Data Platforms
Each architectural evolution responds to changing business drivers — from structured reporting to federated, AI-ready data ecosystems.
Beyond Technology Platforms
Most architecture courses focus on specific technologies or cloud vendors. This training focuses on architectural thinking. Participants learn:
The emphasis is on principles, patterns, and enterprise design rather than specific tools.
Industry Architecture Scenarios
Examples from:
Demonstrate:
Governance Challenges
Platform Evolution
Integration Patterns
Analytics Requirements
AI Readiness
Why Learn From YPT
Enterprise Architecture Experience
Practical experience designing enterprise-scale data ecosystems.
Published Author
Author of books covering Data Architecture, Data Management, and AI.
Global Data Community
43,000+ members.
International Podcast
Host of the "Let's Talk About Data!" podcast.
Architecture Frameworks
Creator of DAC Architecture and other enterprise frameworks for unified data and AI capability design.
Organizational Benefits
Organizations that invest in Enterprise Data Architecture can:
Related Training Programs
Design Future-Ready Data Ecosystems
Learn how modern organizations design scalable, governed, and AI-ready enterprise data architectures that support long-term business success.
Part of the YPT Data & AI Training portfolio. Build modelling foundations with Enterprise Data Modelling.