Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

As AI moves into production, enterprises need data that remains open, governed, and resilient as it flows across engines, formats, and environments. To address this need, Snowflake is expanding how ...

Genie now pops entire 3D realms in 60 seconds while Tesla retires cars to build robot coworkers and a rogue lobster bot breaks the GitHub meter. Grab your digital passport—today's features are already ...

These 19 cooking pans could leach lead into your food, FDA warns Alzheimer's risk declines sharply with one daily lifestyle change, researchers say Royal Journalist Claims Princess Diana "Leaked" ...

As a data scientist, the SQL query you'll likely use most often is SELECT, the command for “selecting” which data from which tables you want to work with. This lesson introduces how to use SELECT to ...

In most enterprises, data access still feels like a locked room with SQL as the only key. Business teams depend on data engineers for every report, dashboard, or metric tweak. Even in the age of ...

Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...

Abstract: This research introduces a novel system for converting natural language text into structured SQL queries using a hybrid [22] [23] Natural Language Processing (NLP) framework. The system ...

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

Using AI to automate time-consuming tasks frees up your time — but you don’t have to use this new free time on your business. Investing your newfound free time in personal well-being and creative ...