Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

A workaround to allow you to create multiple tables in a Direct Lake semantic model linked to the same table in OneLake ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

So many cool Fabric features get announced at Fabcon that it’s easy to miss some of them. The fact that you can now not only generate Excel files from Fabric Dataflows Gen2, but that you have so much ...

This application enables users to interact with an e-commerce SQL database using natural language queries. It leverages two specialized AI agents: SQL Agent: Converts natural language questions into ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

This repository contains the experimental artifacts used in the evaluation of Large Language Models (LLMs) for Text-to-SQL translation, as described in the associated manuscript. The materials ...

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 ...

In most enterprises, data access still feels like a locked room with SQL as the only key. Business teams depend on data engineers for every report, dashboard, or metric tweak. Even in the age of ...