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 ...

Discover how agentic AI is reshaping databases. Explore critical insights and prepare for the future of data management today ...

The web framework IHP 1.5.0 brings a new database layer, significant performance gains, and an improved modular architecture.

Victims are coaxed into a Quick Assist session that drops a digitally signed Microsoft Installer (MSI). This slips in a third-party-signed dynamic link library (DLL) to trigger sideloading and deploy ...

Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...

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 ...

Azure SQL Query Store now captures read-only queries, expanding performance visibility beyond transactional workloads DBAs can analyze execution plans and runtime statistics for primary and read-only ...

This is the official repository for the paper "E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL". Translating natural language queries into SQL (Text-to-SQL) is a critical task for ...

Dune has become a leading solution for blockchain on-chain data analysis, repurposing intricate transaction data into easy-to-interpret and actionable insights. Its strength primarily derives from ...