<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Google Cloud on DataAgentX</title><link>https://e343c64b.dataagentx.pages.dev/en/tags/google-cloud/</link><description>Recent content in Google Cloud on DataAgentX</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 22 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://e343c64b.dataagentx.pages.dev/en/tags/google-cloud/index.xml" rel="self" type="application/rss+xml"/><item><title>Google Cloud Data Agents Converge Three Kinds of Context</title><link>https://e343c64b.dataagentx.pages.dev/en/products/20260922-google-cloud-context-and-analytics/</link><pubDate>Tue, 22 Sep 2026 00:00:00 +0000</pubDate><guid>https://e343c64b.dataagentx.pages.dev/en/products/20260922-google-cloud-context-and-analytics/</guid><description>&lt;p&gt;&lt;a href="https://e343c64b.dataagentx.pages.dev/images/articles/google-cloud-context-and-analytics/core-en.svg"&gt;&lt;img src="https://e343c64b.dataagentx.pages.dev/images/articles/google-cloud-context-and-analytics/core-en.svg" alt="Three contexts in the Google Cloud analytics flow"&gt;&lt;/a&gt;&lt;/p&gt;&#10;&lt;p&gt;Knowing where a table lives is not the same as knowing how to answer a business question. Google Cloud describes Conversational Analytics data agents as a combination of context and tools: business information and data provide context; SQL, Python, and visualization tools perform work.&lt;/p&gt;&#10;&lt;h2 id="three-contexts-have-different-authority"&gt;Three contexts have different authority&lt;/h2&gt;&#10;&lt;p&gt;Data context identifies queryable objects, fields, relationships, and locations. Business context explains terms, metrics, filters, and verified queries. Conversation context retains the user’s scope, assumptions, and follow-up questions across turns.&lt;/p&gt;</description></item><item><title>A Data Agent Vendor Map Based on System Position, Not Labels</title><link>https://e343c64b.dataagentx.pages.dev/en/tech/20260917-data-agent-vendor-map/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://e343c64b.dataagentx.pages.dev/en/tech/20260917-data-agent-vendor-map/</guid><description>&lt;p&gt;The easiest Data Agent market map to draw incorrectly is a wall of logos that mixes cloud platforms, BI applications, internal systems, open-source frameworks, and research projects. They may serve different jobs, occupy different layers, and accept different production responsibilities.&lt;/p&gt;&#10;&lt;p&gt;A useful map has two axes: system position and delivery model. Find peers first, then compare them.&lt;/p&gt;&#10;&lt;p&gt;&lt;a href="https://e343c64b.dataagentx.pages.dev/images/articles/data-agent-vendor-map/core-en.svg"&gt;&lt;img src="https://e343c64b.dataagentx.pages.dev/images/articles/data-agent-vendor-map/core-en.svg" alt="The Data Agent market layered by data platform, semantics, agent platform, analytics application, and engineering"&gt;&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>