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Understand the concept of Data Modeling and what are data products.
Data Modeling: The process of defining the structure, relationships, and constraints of data. Aims to optimize how data is stored and accessed. Can be performed at different levels (conceptual, logical, physical) and using various methods (dimensional data modelling, data vault, etc.)
Data Product: A reusable, active, and standardized data asset designed to deliver measurable value by applying product thinking principles. It includes one or more artifacts enriched with metadata like governance policies and data contracts.Usually aligned to a specific domain or use case.
Understand how to build data models that are tightly aligned with business reality. From defining meaningful metrics to structuring flexible, domain-driven models teams want to use.
Understand the practical side of data governance - tools and frameworks that help data teams scale with clarity and control.
Understand why building data products isn't just about pipelines. They are about designing for scale from day one with transparent processes, shared definitions, and governance that doesn't slow you down.