As enterprises move from reactive analytics to AI agents, Google Cloud's data chief details new metadata, cross-cloud, and ...

In a bid to make the lives of enterprise data engineers and data scientists easier and developers easier, Google Cloud today announced the release of six new artificial intelligence agent tools. The ...

The data job market in 2026 isn't just about knowing SQL or Python anymore; it's about proving you can orchestrate AI agents to build robust data pipelines on Google Cloud. With CodeSignal's recent ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

“Build fast and break things.” That used to be the creed of the software developer, famously coined by Mark Zuckerberg, founder of Facebook, where for many years it was a kind of internal company ...

Your AI isn't broken, your data context is; you need solid data engineering to bridge the gap between a smart model and a reliable, real-world business agent.

Platform engineering isn’t replacing DevOps — it’s the next critical step in evolving how teams manage complexity, scale efficiently and support developers with safer, more consistent systems.