Data Mesh is a transformative approach to data management that decentralizes ownership and access, treats data as a product. It advocates for the establishment of small, self-serve data domains, each owned and managed by cross-functional teams.
In this presentation, we will delve into the four fundamental pillars of Data Mesh, discussing how these principles revolutionize traditional data management paradigms. We will also explore how the integration of DevOps principles plays a pivotal role in preparing the data management landscape for the AI/ML revolution.

We will discuss the critical architectural prerequisites essential for the successful implementation of Data Mesh within organizations. These prerequisites encompass technological considerations, organizational alignment, and cultural shifts necessary to realize the full potential of Data Mesh.

This talk is influenced by our unsuccessful attempt to make Data Mesh the basis of our Data Strategy at Polestar. Join us as we share our journey and insights, aiming to inspire and guide others on their path to effective and efficient data management.