Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs.

Microsoft is bringing its Azure-aware Copilot experience to Visual Studio 2022. The preview extension lets developers use ...

GitHub’s CodeQL is a robust query language originally developed by Semmle that allows you to look for vulnerabilities in the ...

This project implements a Model Context Protocol (MCP) server designed specifically to interact with Amazon Redshift databases. It bridges the gap between Large Language Models (LLMs) or AI assistants ...

Understanding Multi-Tenant SaaS Architecture Fundamentals So, you’re building a SaaS product and thinking about how to serve ...

All the MCP servers for SearXNG that I've seen use "json" as the output format. While that is certainly a faster way to code a SearXNG MCP server, it will make it fail on virtually all public servers ...

AWS launched Amazon DocumentDB (with MongoDB compatibility) in 2019 as a serverless, fully managed, MongoDB API-compatible ...

Discover expert Power Query tips to reduce steps, streamline workflows, and optimize performance for cleaner, faster data ...