SQL is still the connective tissue of every modern data stack—from cloud warehouses to mobile apps. Recruiters know it, too: employer demand for SQL skills grew 46% year-over-year, according to labour ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
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 ...
AIQ (AI Query) is an intelligent SQL client that enables you to interact with databases using natural language. No need to write SQL manually—just ask questions in natural language, and AIQ will ...
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 ...
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 ...
The Digital Credentials Query Language (DCQL) is very relevant to the EU Digital Identity Wallet (EUDI Wallet) ecosystem. As banks will start asking for verifiable credentials needed - for example in ...
Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...
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