A global certification pathway validates NoSQL expertise through secure testing and digital credentials aligned with ...

The end of the unstructured data problem perfectly encapsulates the transformative benefits and potential risks of agentic AI ...

When an app needs data, it doesn't "open" a database. It sends a request to an API and waits for a clear answer. That's where FlaskAPI work fits in: building ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

Researchers call this context rot: as an AI system processes more information, irrelevant details clutter its working memory. The result can be less accurate responses, higher costs, and a gradual ...

Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced that Cortex Code CLI, Snowflake's AI coding agent for local development environments, is expanding beyond Snowflake-native workflows ...

Backend development is mainly defined by the library used to develop it. Choosing modern, optimized Node.js libraries directly impacts scal ...

SEO fundamentals are here to stay, but prompt engineering is rapidly transforming the practice into a holistic discipline.

In 2026, agentic AI won’t just help engineers code — it’ll run first drafts of the SDLC, leaving humans to steer, review and think bigger.