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- Data
Data Modeling
This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes: 1. Data Modeling Core Concepts (video course) 2. Conceptual and Logical Data Modeling (video course) 3. Normalization and Relational Design in Data Modeling (video course) 4. Dimensional Data Modeling for Analytics (video course) 5. Data Modeling for Modern Data Architectures (video course) 6. Evolve and Govern Data Models (video course)
Data modeling is the process of structuring and organizing data to accurately represent business concepts and support effective data management and analysis. This path introduces the core principles and techniques of data modeling, from conceptual to physical design. Learners will explore how strong data models improve data quality, performance, and usability across systems, gaining the skills to design, interpret, and evolve models that align business needs with technical implementation.
Content in this path
Data Modeling
Watch the following courses to get started with the core theory and foundations of effective data modeling.
Try this learning path for free
What You'll Learn
- Data modeling core concepts
- How to design conceptual and logical data models
- How to perform normalization and relational design in data models
- How to perform dimensional data modeling
- How to design data models for modern data architectures
- How to evolve and govern data models
- Learners interested in this skill path should have a foundational knowledge of data and databases, including how data is stored and accessed in tables with basic SQL queries. Learners should also be familiar with common data types, relationships, and general data workflow concepts such.
- Data Quality
- Database Design
- Data Normalization
- Schema Design
- Data Lineage
