A controlled test compared three nearly identical pages: one with strong schema, one with poor schema, and one with none. Only the page with well-implemented schema appeared in an AI Overview and ...

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.

“Data is the lifeblood of any business, and the cloud is the best way to analyze it so that insights become actionable,” said Magesh Bagavathi, Senior Vice President and Global Chief Technology ...

Microsoft is making it easier to migrate to Azure SQL by taking the grunt work out of schema setup. A new update to Azure Database Migration Service (DMS) introduces a built-in schema migration tool ...

When using the new SQL Completion engine with the option "Use new SQL Parser" enabled and the setting to analyze all schemas, the completion process becomes extremely slow in environments with many ...

Community driven content discussing all aspects of software development from DevOps to design patterns. If you plan to do database development with Java and MySQL, the first thing you’ll need to do is ...

Learn everything about organization schema, how it improves SEO, boosts visibility in search results, and how to implement it correctly on your website. Organization schema often gets a bad rap in our ...

Having rolled out artificial intelligence agents across most of its Fusion Cloud Application Suite, Oracle Corp. today is making it possible for customers to create their own. The new AI Agent Studio ...

Oracle SQL Developer allows you to connect and manage databases. It is probably the easiest way to run any query as it gives the result in a tabular format. However, we have also noticed that, in some ...

Abstract: Text-to-SQL is a important task for database-related applications, which automatically translates users’ questions into SQL queries for database. Recently, the large language models (LLMs) ...