Preview: Microsoft Fabric Neo4j Graph Analytics Workload Demo with Visualization and Algorithms
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Using Microsoft Fabric Workload for AuraDB to Make Product Recommendations from OneLake Data
The Neo4j Graph Analytic Workload in Microsoft Fabric allows you to take data from OneLake tables and files, transform it, and import it into the graph database (Neo4j Aura on Azure).
Then you can visualize the data inside of the workload and explore and navigate but also run graph algorithms for highlighting specific information.
Larger graph compute jobs can be run in the background to determine clustering, centralities, embeddings and other graph features.
Those can then be written back to OneLake for further analysis, and downstream processing in Fabric.
Resources mentioned
Graph Data ScienceAuraDBCloud & data platformsVisualizationData modeling & import
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