Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...

Google’s new tool abstracts SQL into a visual interface, helping enterprises manage cloud workload insights without deep ...

I published the semantic model from my last post (which has four text columns CustomerId and CustomerName from the Customers table, CustomerId and TransactionId from the Orders table, none of which ...

Ernst & Young (EY), one of the world’s biggest accounting companies, kept a complete database backup on the public internet, ...

The new release, dubbed AI-Powered Database Migration Authoring, is part of the company’s Database DevOps platform, designed ...

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 ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

I've opened a few issues in other model-specific repositories on the same topic - sometimes properties in YAML files that are used as a base for SQL schema file generation are also valid keywords in ...

I've noticed that enums aren't separated by newlines when there are multiple enums in a schema.sql file. Should we perhaps adjust the generate_sql_schema source code so that it'd split enums with ...

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.

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 ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...