Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

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 ...

Yuki Launches BigQuery Cost Optimization Platform, Eliminating 3-Year Commitments While Cutting BigQuery Spend by Up to 60% ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

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 ...

Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

Abstract: The goal of the Cross-domain Text-to-SQL task is to accurately translate natural language questions into executable SQL queries, even when applied to previously unseen databases. Recently, ...