Data Mesh Demystified

Goals

More than teaching the principles of Data Mesh, and how it has revolutionized the world of data architecture and architecture solo, what this course does is begin with a baseline understanding of concepts such as Domain Ownership, Data as a Product, and Federated Governance-all the essences that actually empower teams to own their data. Then, students will dive into Data Mesh vs. Traditional Data Architecture, exploring all the ways by which Data Mesh is solving long-standing pain points in areas such as scalability and data silos. The course then guides learners through creating a self-serve data platform for teams to access and manage data independently - true autonomy and efficiency within an organization. By the end of the course, learners will know and be able to apply data governance and quality practices tailored for a decentralized Data Mesh environment; therefore, they can ensure very high standards of data security, quality, and compliance in the organization. After this course, participants will be equipped to use ideas learned on Data Mesh to design scalable, efficient, and secure data architectures.

Prerequisites

This course is designed to be accessible for both beginners and experienced professionals, with no strict prerequisites required. However, a few foundational skills can be helpful. Familiarity with basic data concepts—such as databases, data storage, and data management—will aid in understanding more advanced topics within Data Mesh. Some experience with data architecture—including data warehouses or data pipelines—can also be beneficial for drawing comparisons between traditional systems and the Data Mesh approach. Additionally, a general understanding of cloud platforms like AWS, Azure, or GCP may provide context when exploring tools and technologies used in Data Mesh. Above all, a willingness to learn and an open mind toward modern data architectures will set you up for success in this course!