A new reinforcement learning optimizer called LIGHT uses dynamic graph attention and logarithmic reward shaping to cut query ...

Your model will keep getting better at writing SQL. To make it trustworthy, nail down the access rules before tuning for ...

To an outsider, the job of a hospital systems engineer writing SQL looks like 'sending SQL to a database and retrieving the ...

As enterprises race to connect AI agents to their most sensitive data, Oracle database tools specialist Jeff Smith is making a contrarian case: ...

Query Apache Iceberg tables stored in cloud storage directly from AlloyDB and join them with live operational data in a ...

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 ...

AI agents need data products to reliably discover and use enterprise data.

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

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 ...

Discover how to use Google Cloud Database Migration Service to shrink Cloud SQL for SQL server disks with minimal downtime.

Microservice architectures require local data projections when multiple services need account data from a master source. Remote SQL joins and API calls create latency and dependency risks that shaped ...