Full stack solution using Javascript, Azure Static Web Apps, Azure Function, Azure SQL Database and a microservice architecture to monitor in real-time public transportation data, create a geofence and send notification when geofence is activated
Samples using AI and Azure SQL DB
dbt adapter for SQL Server and Azure SQL
Terraform Module to deploy a SQL Server, SQL Database, Storage Account in a Resource Group. The module can create an auto-failover group with a private link and geo-redundant database for high availability needs.
Build a recommender using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
An awesome list of Azure SQL samples for Developers of any Language and Platform
This repository offers Dev Container templates for .NET, .NET Aspire, Python, and NodeJS. Each template includes a pre-configured Azure SQL Database, making it easy to start developing right away.
Samples on how call a REST endpoint using Azure SQL Database
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A simple SSDT SQL Project packed full of all sorts of goodies to ease your T-SQL development
Create and Deploy Azure SQL Database using Terraform
Working with the Microsoft Academic Graph in various data platforms - Azure SQL, SQL Server, Apache Spark etc.
Azure CLI Commands
"Serverless Scalable Back-End API with Hybrid Data Models" Samples
How to read and write to a database from a Databricks notebook using an Entra service principal
End-to-end Azure retail data engineering pipeline using Azure SQL, Data Factory, ADLS Gen2, Databricks/PySpark, and Power BI with a Bronze-Silver-Gold medallion architecture.
Breast Cancer API facilitates interations with breast cancer patient data. The registry has information about basic patient demographic information, prognostic and clinical data. One use case of this is API can be in hospitals and research institutes to maintain a cancer registry.
End-to-end healthcare data engineering pipeline using Azure SQL Database, SQL Server, ETL, relational modeling, and healthcare analytics on the MIMIC-III clinical dataset.
This project demonstrates various processing approaches for handling large Xml files, using the publicly available GLEIF datasets.
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