I have been collaborating with my colleague Inder Rana on a GitHub repository for an end-to-end Microsoft Fabric solution for some time, as it provides a simple means to learn about Fabric with real open source healthcare data. This most recent update enables non-technical people who have never used Fabric with a means to install a Fabric solution built to best practices in less than an hour for learning, testing, exploration.
The new Quick Setup Github guide is available at this link: fabric-samples-healthcare/analytics-bi-directlake-starschema/quick-setup.md at main · isinghrana/fabric-samples-healthcare
The most recent updates enable you to install the end-to-end solution using a single Fabric Notebook that can downloaded from the GitHub repo, uploaded to Fabric, and then run in a blank Workspace. The full process takes less than an hour. The brilliant automation to enable this new deployment option was entirely the work of Inder Rana. You can network with and follow Inder on LinkedIn and Medium:
https://linkedin.com/in/singhinderjit
https://isinghrana.medium.com/
In less than one hour a single Fabric Notebook creates ELT Spark Notebooks, a Lakehouse with 275 rows of real public data, a Data Factory Pipeline, a Semantic Model, and a Power BI report. You can add a Fabric Data Agent from the following link at the GitHub site: fabric-samples-healthcare/analytics-bi-directlake-starschema/docs/5-CreateAISkill.md at main · isinghrana/fabric-samples-healthcare
The dataset used is the publicly available Medicare Part D Prescribers – by Provider and Drug, sourced from the Centers for Medicare & Medicaid Services (CMS): https://data.cms.gov/provider-summary-by-type-of-service/medicare-part-d-prescribers/medicare-part-d-prescribers-by-provider-and-drug
Below is a video in which Inder walks you through the process of deploying the new Quick Install:
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