<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BigQuery on MCP Toolbox for Databases</title><link>/integrations/bigquery/</link><description>Recent content in BigQuery on MCP Toolbox for Databases</description><generator>Hugo</generator><language>en</language><atom:link href="/integrations/bigquery/index.xml" rel="self" type="application/rss+xml"/><item><title>BigQuery Source</title><link>/integrations/bigquery/source/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/integrations/bigquery/source/</guid><description>&lt;h2 id="about">About&lt;/h2>
&lt;p>&lt;a href="https://cloud.google.com/bigquery/docs">BigQuery&lt;/a> is Google Cloud&amp;rsquo;s fully managed, petabyte-scale,
and cost-effective analytics data warehouse that lets you run analytics
over vast amounts of data in near real time. With BigQuery, there&amp;rsquo;s no
infrastructure to set up or manage, letting you focus on finding meaningful
insights using GoogleSQL and taking advantage of flexible pricing models
across on-demand and flat-rate options.&lt;/p>
&lt;p>If you are new to BigQuery, you can try to
&lt;a href="https://cloud.google.com/bigquery/docs/quickstarts/quickstart-command-line">load and query data with the bq tool&lt;/a>.&lt;/p></description></item></channel></rss>