LONDON, Dec 10 (Reuters) - The artificial intelligence boom once again shielded the stock market from the sharp macroeconomic edges of 2025. But there's a gnawing anxiety that the dominant AI theme ...

Quality and speed do not always go hand in hand. In test data management, however, they need to, because it has become more important than ever to deliver high-quality software quickly and safely. Any ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

What is DataGrip SQL Workbench? DataGrip SQL Workbench is a Windows-focused database environment built around datagrip, datagrip sql, jetbrains datagrip, datagrip jetbrains, and intellij datagrip ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

If you’re searching for a symbol of the wild ride the US economy has been on over the past decade and where it’s going next, the former General Motors Co. plant in Lordstown, Ohio, checks a lot of ...

To safeguard enterprise data in hybrid cloud environments, organizations need to apply basic data security techniques such as encryption, data-loss prevention (DLP), secure web gateways (SWGs), and ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Despite the title of this article, this is not an AWS Data Engineer Certification Braindump in ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

The Trump administration is deploying the National Guard to Washington over a supposed “public safety emergency”—but it can’t seem to iron out its reason for doing so. Mere moments after the president ...

In a time when health systems are struggling to gain meaningful insights from data – and simultaneously aware that safeguarding patient privacy is essential – synthetic data offers a lot of potential.