The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

This article explains how to repair the MDF file using the native repair methods and how to use a Reliable MDF file Repair ...

Overview: SQL remains a core skill for data management across industries in 2026Free courses build fundamentals while paid ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

DuckDB has recently introduced end-to-end interaction with Iceberg REST Catalogs directly within a browser tab, requiring no ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...