Improved Analytics for Healthcare Data in Microsoft Fabric

This article details exciting enhancements to a publicly available GitHub repository that demonstrates building an end-to-end healthcare analytics solution within Microsoft Fabric. This solution leverages real-world CMS Medicare Part D data, making it a valuable resource for anyone working with Fabric environments.

The key improvements include:

Faster Processing: The data processing pipeline now takes less than 20 minutes to run, significantly improving efficiency.
Expanded Data: The repository now includes 10 years of data (2013-2022), providing a richer dataset for analysis.
Deployment Flexibility: The update offers two deployment options:
Spark Notebooks with a Pipeline (ideal for Python users)
Spark Notebooks and SQL Stored Procedures (suitable for SQL backgrounds)

Explore the Enhancements:

GitHub Repository: Access the updated repository here: [link to repository] (fabric-samples-healthcare/analytics-bi-directlake-starschema at main · isinghrana/fabric-samples-hea…)
Video Tutorial: Learn more about the Spark Notebooks with Pipeline approach in the video below. (A video on the SQL Stored Procedure method is coming soon.)

Spread the Word:

If you find this solution helpful, consider giving the repository a “Star” on GitHub!