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.

Geopolitical uncertainty is driving organizations outside the U.S. to explore sovereign cloud alternatives, ranging from country-specific Azure regions to fully disconnected on-premises deployments.

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Abstract: In the era of big data, the ability to process and analyze large volumes of data is critical for decision-making, marketing and sales, healthcare and scientific research, etc. However, this ...

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 ...

Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...

Conversational chatbots were the first chapter of AI. Today is the beginning of the second. We are excited to introduce Copilot Tasks — AI that doesn’t just talk to you, but works for you. This is a ...

Currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0). Developers can effortlessly connect, interact, and generate data insights with BigQuery datasets and ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

To stand out in today's job market, it's crucial to go "one step beyond" other candidates by polishing your personal narrative and preparing for tricky interview questions. Candidates who are able to ...