Discover expert Power Query tips to reduce steps, streamline workflows, and optimize performance for cleaner, faster data ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Query files using a serverless SQL pool SQL is probably the most used language for working with data in the world. Most data analysts are proficient in using SQL queries to retrieve, filter, and ...

Behavioral data helps us understand what drives users to a search, where they carry it out, and what points of friction might ...

Introduction We present an automatic and scalable text-to-SQL data synthesis framework, illustrated below: Based on this framework, we introduce the first million-scale text-to-SQL dataset, ...

In the interactive data exploration, approximate query processing (AQP) can be used to quickly return query results at the cost of accuracy. For online AQP, the sampler can be treated as an operator ...

BILOXI, Miss. — The Trump administration is developing a powerful data tool it claims will let states identify noncitizens registered to vote. But Democratic critics and data experts warn it ...

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.

EVOLVE provides a thorough exploration of the methodology and strategic approach employed in appraising text-to-sql for enterprise-scale applications. It delves into our unique tactics, evaluative ...