https://github.com/ryanninodizon/ehr-poc
End-to-End Concept Project: Azure Data Factory Pipeline, Azure IoT Central, Azure Storage Account, Azure SQL, .NET, Angular
https://github.com/ryanninodizon/ehr-poc
angular automation-workflow azure dataengineering datafactory datapipeline dotnet entra-id entraid etl iotcentral microsoft-identity-platform msal spa
Last synced: 7 months ago
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End-to-End Concept Project: Azure Data Factory Pipeline, Azure IoT Central, Azure Storage Account, Azure SQL, .NET, Angular
- Host: GitHub
- URL: https://github.com/ryanninodizon/ehr-poc
- Owner: ryanninodizon
- License: mit
- Created: 2025-02-01T14:43:22.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-02-14T17:21:05.000Z (9 months ago)
- Last Synced: 2025-02-14T18:26:39.522Z (9 months ago)
- Topics: angular, automation-workflow, azure, dataengineering, datafactory, datapipeline, dotnet, entra-id, entraid, etl, iotcentral, microsoft-identity-platform, msal, spa
- Language: TypeScript
- Homepage:
- Size: 42.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Info
This repository contains four directories that can be used to implement the end-to-end solution.
- **[IoTCentral-FileUploader](https://github.com/ryanninodizon/EHR-PoC/tree/main/IoTCentral-FileUploader "IoTCentral-FileUploader") -** This is a basic console app that serves as a FileUploader from local machines. It locates the file to be uploaded and sends it to IoT Central file storage.
- **[api](https://github.com/ryanninodizon/EHR-PoC/tree/main/api "api") -** This is a simple .NET Minimal WebAPI that retrieves data from the output of an Azure Data Factory Pipeline.
- **[arch](https://github.com/ryanninodizon/EHR-PoC/tree/main/arch "arch") -** This folder contains the architecture diagrams.
- **[spa](https://github.com/ryanninodizon/EHR-PoC/tree/main/spa "spa") -** An Angular project that showcases the authentication/authorization with Microsoft Identity Platform.
## End-to-End Solution

See e2e testing [here](https://youtu.be/krEo3mMB9E4)。
## Quick Demonstrations:
> Data Pipeline/Processing

##
> Securely Retrieving Data
