Part 4/11:
Their goal was to build a data architecture that empowered domain teams, improved speed, ensured data quality, and fostered better governance.
Principles of a Data Mesh
The company's approach was rooted in established data mesh principles, which aim to decentralize data ownership and improve scalability through domain-driven architecture:
Domain Ownership: Each domain—like pricing, merchandising, or customer data—is responsible for its data, ensuring deep domain knowledge and tailored data products.
Data as a Product: Domain teams treat their datasets as products, focusing on usability, quality, and clear documentation.
Domain-Driven Boundaries: Clear boundaries are enforced so each team manages its data lifecycle, pipeline, and updates.