How to bring data into a data modeling schema

This module is a practical, narrative-driven guide designed for Data Practitioners. It moves beyond abstract theory to teach the end-to-end lifecycle of building a high-performance industrial knowledge graph in Cognite Data Fusion. Using real-world data from the BSEE Gulf of Mexico dataset (Pumps, Platforms, Wells), learners follow a "Construction" metaphor, progressing from designing the Blueprint (Data Modeling) to Construction (Ingestion), Inspection (Debugging), and finally establishing a Safety Net (Recovery).

The course features a "Black Box" hands-on repository where learners simulate a real engineering project, alternating between writing code in VS Code and testing it in the CDF Fusion UI.

Learning Objectives:

By the end of this module, learners will be able to:

• Determine when to use Direct Relations versus Edge Instances to model complex industrial assets
• Write SQL transformations using SQL functions to link instances across different spaces
• Diagnose and fix common ingestion errors where relationships fail to form due to data quality issues
• Optimize and maintain graph health by implementing high-performance ingestion patterns and managing the full data lifecycle