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 ...

Abstract: To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates ...

In system operations or data analysis tasks, when handling XML data stored in a relational database, have you ever faced a situation where you wanted to extract specific parts while maintaining the ...

In the fields of web application operations and system development, the task of organizing and accurately extracting necessary information from access logs or large ...

A robust, cross-platform command-line tool for extracting complete SQL Server database schemas, stored procedures, and seed data. 🚀 Production-Tested: Successfully extracts enterprise databases with ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. The Microsoft Security Response Center has confirmed that a SQL Server elevation of ...

Some of the most important battles in tech are the ones nobody talks about. One of them? The war against unstructured text chaos. If you’ve ever tried to extract clean, usable data from a pile of ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The Snipping Tool in Windows is a useful built-in tool that lets you capture screenshots, but did you know it can also be used to extract text? With a bit of creativity and the right steps, you can ...

Q. I have used the Excel functions LEFT, MID, and RIGHT to dissect cells. However, I have some spreadsheets where each piece of information is a different length and uses different delimiters. Is ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...