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 ...

Prologue: 'How many active customers are there?'On Monday morning, the sales manager asks the AI agent, 'How many active ...

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 ...

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 ...

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 ...

The theme for this time is SQL "execution plans."Execution plans are one of the technologies you absolutely must understand when considering database performance.However, this content might also be a ...