From ER diagrams to advanced SQL queries, mastering database design unlocks the ability to turn raw data into actionable insights. Practical labs, real-world projects, and optimization techniques help ...

DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...

SQL Server, which you install and manage yourself, and Azure SQL, which Microsoft runs for you as a managed service. Both use the same underlying engine, so code and queries work the same way. The ...

A startup called PocketOS lost its entire production database and its backups after an AI coding agent inside the Cursor ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure platform that aims to act as a kind of central nerve center for the era of ...

Oracle Corp. is extending its partnership with Google LLC’s Cloud to simplify how enterprise users interact with data, introducing a new natural-language interface for queries directly against Oracle ...

This article explores how performance-focused code review works, what reviewers should look for, and how teams can prevent slowdowns long before users complain.

American technology giants AWS, Google, and Microsoft dominate the global cloud database management systems (DBMS) market.

Nearly every major product family needs immediate patching, from Windows to Office to Microsoft Edge, SQL Server, and even Microsoft Developer Tools.

AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise data. In this episode of DEMO, Keith Shaw speaks with Mike Albritton, Senior ...