<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	
	>
<channel>
	<title>
	Comments on: Slash Your GA4 BigQuery Bills By Only Overwriting Recent Data	</title>
	<atom:link href="https://informediteration.com/slash-your-ga4-bigquery-bills-by-only-overwriting-recent-data/feed/" rel="self" type="application/rss+xml" />
	<link>https://informediteration.com/slash-your-ga4-bigquery-bills-by-only-overwriting-recent-data/</link>
	<description>More Value and Less Stress From Your Data</description>
	<lastBuildDate>Wed, 01 Apr 2026 18:24:39 +0000</lastBuildDate>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>
	<item>
		<title>
		By: JF Amprimoz		</title>
		<link>https://informediteration.com/slash-your-ga4-bigquery-bills-by-only-overwriting-recent-data/#comment-15655</link>

		<dc:creator><![CDATA[JF Amprimoz]]></dc:creator>
		<pubDate>Fri, 31 May 2024 14:42:43 +0000</pubDate>
		<guid isPermaLink="false">https://informediteration.com/?p=1065#comment-15655</guid>

					<description><![CDATA[In reply to &lt;a href=&quot;https://informediteration.com/slash-your-ga4-bigquery-bills-by-only-overwriting-recent-data/#comment-15648&quot;&gt;aliizadi&lt;/a&gt;.

Thanks for the comment, Ali! This post isn’t looking for the cheapest or most robust way to manage the process of getting GA4 data through BigQuery and into reports, so much as the one most accessible to analysts less familiar with the Google Cloud Platform. This method is presented as an improvement over using scheduled queries that overwrite entire tables, without having to learn Dataform. 

Dataform is indeed a more powerful option, but it is also a more complicated one, that I feel it makes sense to build up to. As a result, I’m planning on doing some posts on using Dataform come July.]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://informediteration.com/slash-your-ga4-bigquery-bills-by-only-overwriting-recent-data/#comment-15648">aliizadi</a>.</p>
<p>Thanks for the comment, Ali! This post isn’t looking for the cheapest or most robust way to manage the process of getting GA4 data through BigQuery and into reports, so much as the one most accessible to analysts less familiar with the Google Cloud Platform. This method is presented as an improvement over using scheduled queries that overwrite entire tables, without having to learn Dataform. </p>
<p>Dataform is indeed a more powerful option, but it is also a more complicated one, that I feel it makes sense to build up to. As a result, I’m planning on doing some posts on using Dataform come July.</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		By: aliizadi		</title>
		<link>https://informediteration.com/slash-your-ga4-bigquery-bills-by-only-overwriting-recent-data/#comment-15648</link>

		<dc:creator><![CDATA[aliizadi]]></dc:creator>
		<pubDate>Thu, 30 May 2024 20:09:51 +0000</pubDate>
		<guid isPermaLink="false">https://informediteration.com/?p=1065#comment-15648</guid>

					<description><![CDATA[Thank you for your article. The most cost-effective way to add new tables incrementally is by using dataform and running it incrementally to identify the exact table_id created each day. This approach allows us to query only one table instead of 7 days&#039; worth of data.]]></description>
			<content:encoded><![CDATA[<p>Thank you for your article. The most cost-effective way to add new tables incrementally is by using dataform and running it incrementally to identify the exact table_id created each day. This approach allows us to query only one table instead of 7 days&#8217; worth of data.</p>
]]></content:encoded>
		
			</item>
	</channel>
</rss>
