What you'll learn

Modern data architectures often struggle to scale due to central bottlenecks, unclear ownership, and fragmented governance. These challenges can limit innovation, delay data access, and create friction between technical and business teams. In this course, Data Mesh: Principles, Roles, and Architecture, you’ll gain the ability to design and guide a decentralized, domain-driven data architecture that aligns with business agility and scalability goals. First, you’ll explore the four core principles of data mesh domain oriented ownership, data as a product, self-service platforms, and federated computational governance and understand how they solve common issues in traditional centralized data platforms. Next, you’ll discover the key roles involved in a successful data mesh implementation, including domain teams, data product owners, platform engineers, and governance participants, and how they collaborate across organizational boundaries. Finally, you’ll learn how to evaluate architectural patterns, trade-offs, and organizational readiness, while identifying anti-patterns that can derail a mesh implementation. When you’re finished with this course, you’ll have the skills and knowledge of data mesh architecture needed to assess, plan, and lead a data mesh strategy tailored to your organization’s maturity, scale, and goals.