Data Mesh - Architecture, Principles & Implementation
Build scalable, domain-led data practices through product-focused ownership
Created by Vivek P.
Explore how organizations can move beyond centralized data models to adopt a scalable, domain-led approach. You'll learn why traditional architectures struggle and how Data Mesh principles help teams deliver trusted data at scale. Gain a clear understanding of ownership, architecture, and practical implementation steps.
Packt | Aug 2026 | 83 min
What You Will Learn
You'll follow a visual storyline that traces the evolution from centralized databases to domain-oriented models. Each section builds on the last, using architecture examples and practical scenarios to connect concepts to real technology ecosystems. By the end, you'll be able to discuss and plan Data Mesh adoption confidently.
Key Features
- Understand the four core principles of Data Mesh and their real-world impact
- Identify the limits of centralized data models and how domain ownership improves scalability
- Learn to map data products and architecture to modern technology platforms
Target Audience
This course is ideal for data professionals, architects, engineers, analytics practitioners, and technology leaders who want a clear, practical view of Data Mesh. If you have a basic understanding of data and analytics and want to bridge the gap between technical and business perspectives, you'll benefit from this learning path.
