🔧 Manage SQL Server operations seamlessly with this robust tool, designed for efficiency and ease of use in database handling and administration.
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Updated
Dec 17, 2025
🔧 Manage SQL Server operations seamlessly with this robust tool, designed for efficiency and ease of use in database handling and administration.
🚀 Simplify SQL Server management with JLC tools, enhancing performance and efficiency for database administrators and developers.
🚀 Build an automated data pipeline with Azure Data Factory and Databricks to efficiently process and analyze trip transaction data using Medallion Architecture.
🛡️ The independent, comprehensive directory of filter and host lists for advertisements, trackers, malware, and annoyances.
Hackolade(https://hackolade.com) plugin for Microsoft SQL Server and Azure SQL Database
🚀 Deploy changes to your SQL database easily with SQL projects or SQL scripts and sql-action for GitHub workflows
A slightly more-than-trivial full-stack application built with DDD & CQRS concepts
Blog system of https://edi.wang, runs on Microsoft Azure
Open-source Repository of Useful Scripts and Solutions for Microsoft Database Administrators
ポートフォリオ用:IT機器管理システム(ASP.NET Core MVC / Azure App Service / Azure SQL)
A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenAI.
Cmdlets for SQL Server and Azure SQL databases.
Data ingestion into Azure using an Azure Function App, Service Bus, and Azure SQL Database, a typical architecture involves a serverless and event-driven approach that leverages Azure's scalable services.
Samples using AI and Azure SQL DB
Bind the WinForms Data Grid to an Azure SQL data base.
Samples about using vector in SQL Server and Azure SQL
A web API in C# and Azure
Ehestifter is an applicant ATS built out of a desire to explore Azure cloud services and agentic AI workflows.
This is a sample application that demonstrates Azure development patterns with AI integration. It showcases a full-stack application built with a Python frontend, Data API Builder (backend API), Azure SQL Database, and Azure AI Foundry protected throughout with Entra ID. Deployment uses Azure Developer CLI and Bicep Infrastructure as Code (IaC).
A practical sample of RAG pattern applied to a real-world use case: make finding samples using Azure SQL easier and more efficient!
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