Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and confident handling of real business data. Tools like Jupyter Notebook, Tableau, Power BI, ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, most critical business data is still queried, validated, and ...

A comprehensive Model Context Protocol (MCP) server for SQL Server database operations. This server provides 10 powerful tools for database analysis, object discovery, and data manipulation through ...

This guide provides instructions on how to set up and use SQL Server with DBeaver. Before you start, you must create a connection in DBeaver and select SQL Server. If you have not done this, please ...

Google released a Model Context Protocol (MCP) server for Data Commons, exposing the project’s interconnected public datasets—census, health, climate, economics—through a standards-based interface ...

MCP Server enables AI agents to handle a full range of data-driven queries of Data Commons data sources, from initial discovery to generative reports, Google said. Looking to make public data access ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

Microsoft SQL Server is a database management system that is mainly used store and retrieve requested data across a network. It’s purpose more closely aligns with software developers and not so much ...

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. I ...