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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 ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

A large amount of time and resources have been invested in making Python the most suitable first programming language for those getting started with data science. Along with the simplicity ...

The pre-built agents and Private Agent Factory itself would help developers accelerate agent building, especially those ...

March 2026 TIOBE Index stays largely steady, with SQL and R swapping spots, as Paul Jansen explains why the index still ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...