Microsoft SQL Server installation is simple when system requirements and edition choices are planned.Choosing the right authentication mode, such as ...

See Configuring Claude Desktop / Claude Code for examples. A comprehensive Microsoft SQL Server client implementing the Model Context Protocol (MCP). This server provides extensive SQL Server ...

There’s no easy way to make the seven-mile trip from my apartment in Brooklyn to the Middle Village neighborhood in Queens. When I made this journey recently, I took a subway ride into Manhattan on ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

This project is a fork of RESTful API Node Server Boilerplate that adds type safety and works for relational databases. Starts external app dependencies with docker-compose, runs prisma migration / ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

A step-by-step guide to deploying, configuring, and testing a multi-AZ, multi-region SQL Server FCI in the Azure cloud, complete with a PowerShell script that handles the networking configuration.

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

Abstract: Text-to-SQL is one of the most prominent areas where Large Language Models (LLMs) have seen extensive application. While Text-to-SQL systems using LLMs and pre-trained deep learning models ...