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 ...

Oracle Corp. is extending its partnership with Google LLC’s Cloud to simplify how enterprise users interact with data, ...

SQL is still the connective tissue of every modern data stack—from cloud warehouses to mobile apps. Recruiters know it, too: employer demand for SQL skills grew 46% year-over-year, according to labour ...

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 ...

AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise ...

Introduction: Why Cloud Microsegmentation Must Evolve Cloud-native architectures built on auto-scaling virtual machines, platform-as-a-service (PaaS), and serverless platforms have transformed ...

Tech executives explain how they're moving beyond legacy Excel mapping to build AI data pipelines that cut integration workloads by up to 40%.

Oracle announces agentic AI capabilities for Oracle AI Database, including Private Agent Factory, Deep Data Security, and Autonomous AI Vector Database for enterprises.

Open source AstroID database from @hopkinskimmel, @JohnsHopkins allows researchers anywhere to study multiple types of cancer data in one setting. › Researchers from the Johns Hopkins Kimmel Cancer ...