AI agents can generate valid SQL and still deliver wrong answers. Discover how semantic layers help connect AI to approved ...

The new capabilities aim to help developers simplify enterprise data retrieval, maintain agent context across sessions, and ...

NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...

PostgreSQL window functions make it possible to rank records, calculate running totals, and analyze data without combining ...

An explanation from basic syntax to practical pitfallsYou can use SQL to search for data and retrieve records by specifying ...

Data Analyst vs. Data Scientist Data Analyst vs. Data Scientist: In the modern business landscape, merely gathering data is ...

Once snapshot isolation is enabled, updated row versions for each transaction must be maintained. Prior to SQL Server 2019, these versions were stored in tempdb. SQL Server 2019 introduces a new ...

A research-paper retrospective explains how separating query processing, logs, pages and storage changed the scaling behavior of Azure SQL Database.

AI is evolving at a rapid pace, and the uptake of Generative AI (GenAI) is revolutionising the way humans interact and leverage this technology. GenAI is ...

This article covers how to transform SQL injection countermeasures into a production company's 'internal standard' and ...

For the past few years, AI-assisted database development has followed a fairly comfortable model. A developer describes a requirement. The AI generates SQL. The developer reads it, changes what looks ...

Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables on a shared ID. A pipeline sends a failed job down a retry path. Rules like ...