Data Modeling
Training & Workshops
This area is designed to teach practical, adaptable frameworks for structuring data to optimize query performance, reduce cloud costs, and provide robust foundations for analytics dashboards and AI engines. Courses cover when and how to apply core data modeling paradigms (such as 3NF, Data Vault 2, Star/Snowflake schemas, and flat tables) and explore advanced topics like designing reusable and interoperable domain models within decentralized Data Mesh architectures.
Data Modeling Courses
Start with the paradigms, then specialize in decentralized or graph-based architectures.
Scalefree
Enterprise Data Modeling Best Practices
Stop relying on a one-size-fits-all approach to your data architecture. In workshops and real-world labs, learn when to use 3NF, Data Vault 2.0, Star/Snowflake schemas, and flat tables, and improve query performance.
Scalefree
Data Modeling in a Data Mesh: Architecture, Reusability, and Domain Design
Avoid domain silos and redundancies. This practical course will teach you how to design domain-oriented Facts and enterprise-conformed Dimensions that maximize reuse across data products, balancing domain autonomy with enterprise standards.
Scalefree
Graph Data Modeling & Knowledge Graphs
Build reliable, interconnected data relationships. Learn to design graph models, structure nodes and edges, and build knowledge graphs with Neo4j for fraud detection, recommendations, and AI.
Data Modeling Trainers
Unsure what to choose or interested in customized options?
Fully customized class for your needs. Let’s talk and build your own Data Modeling class.



