Discover and visualize graph schemas in Amazon Neptune
Database Blog
This blog post explains how to discover and visualize the actual graph schema directly from the data in an Amazon Neptune database. It covers the following key points:
- Discovering the schema by querying the data in the database using Neptune's summary API and introspection queries
- Mapping the discovered schema to a PlantUML representation for visualization
- Rendering the schema as a UML class diagram using the PlantUML diagram-as-code tool
- Demonstrating the process for both labeled property graph (LPG) and Resource Description Framework (RDF) data models in Neptune
- Merging ontological information with the observed schema for RDF data
The post provides step-by-step instructions and code samples for setting up the necessary resources, adding sample data, and running the discovery and visualization process within a Jupyter notebook on Amazon SageMaker.
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