When people who have just started learning programming or have just entered the IT industry ask me, "What should I study ...

A SQL database is a data collection visualized as tables with rows and columns. Data is stored similarly to a spreadsheet, with columns indicating data attributes and rows describing the entity or ...

Applies to: SQL Server 2016 (13.x) and later versions Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics SQL database in Microsoft Fabric This article provides an overview of the ...

Doom runs in an SQL database. See how 1,300 lines of code render the classic game at 35 FPS using CedarDB and what this means for query limits.

A comprehensive new review argues that database architecture, not just algorithms, determines how successfully entity ...

This is Part 2 of a three-part series. Part 1 covered how to chunk structured data so a retriever can find it. This article covers the first query pattern, i.e., RAG-based Text-to-SQL. We discuss what ...

This article describes how to use SQL database in Fabric to build AI-powered applications that combine transactional data with large language models (LLMs), vector search, or retrieval-augmented ...

If you think that adding RAG will stop AI hallucinations, Stanford University's new course, 'CS224V: Agentic AI,' will ...

AI agents fail at data and code tasks not because they can't write SQL, but because they lack semantic context — the meaning of the data itself.

Data warehouses are often subject to a preponderance of ad-hoc queries. They came into existence in the 1990s to support historical data stores of customer-facing data, especially sales data. At that ...

Discover the best AI tools for developers in 2026. We tested 10 platforms for coding, review, debugging, APIs, documentation, terminals, and databases.

When a cyber incident occurs, one of the first challenges is understanding what happened, which systems were involved, and what traces were left behind. In this context, Velociraptor is an open-source ...