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 ...

Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...

SQL Server supports quicker deployment across enterprise tools through integration services and hybrid system support. Oracle Database is structured to manage large-scale workloads using features that ...

This is going to sound strange, but one of the things I like about tuning Power BI DirectQuery semantic models is that their generally-slower performance and the fact you can see the SQL queries that ...

SQL-Mongo Converter is a lightweight Python library for converting SQL queries into MongoDB query dictionaries and converting MongoDB query dictionaries into SQL statements. It is designed for ...

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 ...

Choosing between Microsoft Dataverse and Microsoft SQL Server resulted in us having to decide between two good options. Microsoft Digital stories Editor’s note: This story was created with the help of ...

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 ...

A fresh round of war of words has erupted between Telangana and Andhra Pradesh over sharing of river waters after Andhra Pradesh Minister Nara Lokesh defended the controversial Godavari-Banakacherla ...