Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...

The essence of this patent is to achieve semantic understanding of table fields and statement fields through large models, thereby constructing a semantic similarity matrix to enhance the accuracy of ...

Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...

Automated language migrations can be made reliable and maintainable by structuring them as pipelines with clear, testable ...

DH2i, one of the world's major providers of always-secure and always-on IT solutions, recently announced the upcoming release ...

However, when it comes to Oracle, almost everyone agrees that it is undoubtedly the best in terms of technology, architecture ...

Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing ...

Composable systems empower developers and businesses to move faster. MCP applies this same principle to AI: modular parts, ...

I tested Claude 4.5 against ChatGPT-5 in 9 challenges from logic puzzles to storytelling. Here’s which AI won.

AI-generated code may compile, but without strict type safety that success is extremely short-lived. Type safety is the guardrail that stops fragile code from rotting into hidden bugs and runtime ...

Streamline access, automate provisioning, and secure logins with Rippling’s powerful identity tools and Supergroup logic.