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 ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

This week, we are excited to kick off SQLCon 2026 alongside FabCon in Atlanta. Bringing these SQL and Fabric communities together creates a unique opportunity to learn, connect, and share what’s next ...

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 new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

Wasm, PGlite, OPFS, and other new tech bring robust data storage to the browser, Electrobun brings Bun to desktop apps, ...

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

Threat actors have started exploiting CVE-2026-21643, a critical vulnerability in Fortinet FortiClient EMS leading to remote ...

The moment AI agents started booking meetings, executing code, and browsing the web on your behalf, the cybersecurity conversation shifted. Not slowly, but instead overnight.What used to be a ...

This project contains theoretical as well as implementation in backend-SQL and FrontEnd-ReactJs. If you liked the repo do ⭐ it. In this new modern era of online shopping no seller wants to be left ...