Domain-Driven Data: Applying DDD Principles to Modern Data Products
Domain-Driven Design (DDD), traditionally associated with software engineering, provides a robust framework for modeling complex systems by aligning design with the core business domains. In data engineering, applying DDD principles can streamline the creation, packaging, and operationalization of data products by fostering collaboration between domain experts and technical teams.
This article explores how DDD principles can be applied to data engineering, focusing on the end-to-end lifecycle of data products.
What are Data Products?
Data products are curated datasets or analytical tools designed to meet specific business needs, providing actionable insights or enabling operational use cases. Examples include:
- Customer 360 Views for marketing and personalization.
- Sales Forecast Models for supply chain optimization.
- Operational Dashboards for monitoring and decision-making.
Data products encapsulate raw data, transformations, quality checks, metadata, and delivery mechanisms to ensure consistency, usability, and value.
