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Neil Craig<p>We (BBC) have a telemetry system to measure media streaming performance &amp; a while back we ran an experiment to slurp off a copy of those metrics (rebuffering, media type, bit rates etc.) to my log pipeline which flows in to BigQuery.<br>Yesterday I cranked up the sample rate to BigQuery from 25% to 100% so we have a resilient system in case of incidents for Glastonbury, Wimbledon &amp; the Euros (plus BAU content).<br>It's definitely bumped the log rate, maybe an extra billion lines today.<br><a href="https://mastodon.social/tags/BBC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BBC</span></a> <a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a></p>
エミリーSEレクト<p>【プログラミング入門】SQLの基本を解説!データベース操作の学ぼう!〜VTuberと学習〜【初心者向け】</p><p><a href="https://www.emilyselect.com/%e3%80%90%e3%83%97%e3%83%ad%e3%82%b0%e3%83%a9%e3%83%9f%e3%83%b3%e3%82%b0%e5%85%a5%e9%96%80%e3%80%91sql%e3%81%ae%e5%9f%ba%e6%9c%ac%e3%82%92%e8%a7%a3%e8%aa%ac%ef%bc%81%e3%83%87%e3%83%bc%e3%82%bf/?feed_id=412&amp;_unique_id=685361c7a98dd&amp;Mastodon" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">emilyselect.com/%e3%80%90%e3%8</span><span class="invisible">3%97%e3%83%ad%e3%82%b0%e3%83%a9%e3%83%9f%e3%83%b3%e3%82%b0%e5%85%a5%e9%96%80%e3%80%91sql%e3%81%ae%e5%9f%ba%e6%9c%ac%e3%82%92%e8%a7%a3%e8%aa%ac%ef%bc%81%e3%83%87%e3%83%bc%e3%82%bf/?feed_id=412&amp;_unique_id=685361c7a98dd&amp;Mastodon</span></a></p><p><a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> <a href="https://mastodon.social/tags/DB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DB</span></a> <a href="https://mastodon.social/tags/RDB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RDB</span></a> <a href="https://mastodon.social/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a> <a href="https://mastodon.social/tags/%E3%82%A8%E3%82%B9%E3%82%AD%E3%83%A5%E3%83%BC%E3%82%A8%E3%83%AB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>エスキューエル</span></a> <a href="https://mastodon.social/tags/%E3%83%87%E3%83%BC%E3%82%BF%E3%83%99%E3%83%BC%E3%82%B9" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>データベース</span></a> <a href="https://mastodon.social/tags/%E3%83%97%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%9F%E3%83%B3%E3%82%B0" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>プログラミング</span></a> <a href="https://mastodon.social/tags/%E5%85%A5%E9%96%80" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>入門</span></a> <a href="https://mastodon.social/tags/%E5%88%9D%E5%BF%83%E8%80%85" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>初心者</span></a> <a href="https://mastodon.social/tags/%E5%9F%BA%E6%9C%AC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>基本</span></a> <a href="https://mastodon.social/tags/%E5%AD%A6%E7%BF%92" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>学習</span></a> <a href="https://mastodon.social/tags/DB%E3%83%BBSQL%E5%9F%BA%E7%A4%8E%E3%83%BB%E5%85%A5%E9%96%80" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DB・SQL基礎・入門</span></a> <a href="https://mastodon.social/tags/DB%E3%83%BBSQL%E5%9F%BA%E7%A4%8E%E3%83%BB%E5%85%A5%E9%96%80" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DB・SQL基礎・入門</span></a> <a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> <a href="https://mastodon.social/tags/DB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DB</span></a> <a href="https://mastodon.social/tags/RDB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RDB</span></a> <a href="https://mastodon.social/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a> <a href="https://mastodon.social/tags/%E3%82%A8%E3%82%B9%E3%82%AD%E3%83%A5%E3%83%BC%E3%82%A8%E3%83%AB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>エスキューエル</span></a> <a href="https://mastodon.social/tags/%E3%83%87%E3%83%BC%E3%82%BF%E3%83%99%E3%83%BC%E3%82%B9" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>データベース</span></a> <a href="https://mastodon.social/tags/%E3%83%97%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%9F%E3%83%B3%E3%82%B0" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>プログラミング</span></a> <a href="https://mastodon.social/tags/%E5%85%A5%E9%96%80" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>入門</span></a> <a href="https://mastodon.social/tags/%E5%88%9D%E5%BF%83%E8%80%85" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>初心者</span></a> <a href="https://mastodon.social/tags/%E5%9F%BA%E6%9C%AC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>基本</span></a> <a href="https://mastodon.social/tags/%E5%AD%A6%E7%BF%92" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>学習</span></a></p>
Eric Heiken<p>Google Cloud Platform seems to be having issues. I'm having problems loading stuff in BigQuery and I'm getting 503s on ETLs pushing into BQ. Are you seeing problems?<br><a href="https://mastodon.social/tags/bigquery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigquery</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a></p>
Jons Mostovojs<p>How messy is <a href="https://social.doma.dev/tags/terraform" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>terraform</span></a> with <a href="https://social.doma.dev/tags/gcp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gcp</span></a>?</p><p>I'm trying to make a system where <a href="https://social.doma.dev/tags/rust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rust</span></a> worker ingests data of HTTP requests via <a href="https://social.doma.dev/tags/cloudrun" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cloudrun</span></a>, and passes them into <a href="https://social.doma.dev/tags/bigtable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigtable</span></a>, which uses further ingestion recipe to export the data into <a href="https://social.doma.dev/tags/bigquery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigquery</span></a> </p><p>I have tried to make a complete terraform declaration for this, but got into permission issues, then I have tried to make a system that generates all the artefacts like service accounts and docker image and then refers to those from terraform builds, but I almost don't see a value of doing it like that.</p><p>Does anyone have an example of <a href="https://social.doma.dev/tags/cloudrun" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cloudrun</span></a> <a href="https://social.doma.dev/tags/cdc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cdc</span></a>? I am new to this and I feel really slow. </p><p><a href="https://social.doma.dev/tags/lazyweb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lazyweb</span></a> <a href="https://social.doma.dev/tags/askfedi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>askfedi</span></a></p>
Code Enigma<p>Our head of development, Dioni, released the first version of the <a href="https://toots.codeenigma.com/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> module for <a href="https://toots.codeenigma.com/tags/Drupal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Drupal</span></a> last month:<br><a href="https://www.drupal.org/project/bigquery_integration" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">drupal.org/project/bigquery_in</span><span class="invisible">tegration</span></a></p><p>Hat tip to our client the Waste and Resources Action Programme (WRAP) for agreeing to share it. 😎</p>
:rss: Qiita - 人気の記事<p>MCPでのデータベースとの対話+資料化<br><a href="https://qiita.com/jw-automation/items/ee08849048f1517d40b2?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/jw-automation/items/</span><span class="invisible">ee08849048f1517d40b2?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/MCP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MCP</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a></p>
Spatialists<p>New geospatial data in Google BigQuery: <a href="https://mapstodon.space/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Google</span></a> is adding geospatial content to its <a href="https://mapstodon.space/tags/DWH" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DWH</span></a> solution <a href="https://mapstodon.space/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a>. Additions encompass annotated Street View <a href="https://mapstodon.space/tags/imagery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>imagery</span></a>, Places (<a href="https://mapstodon.space/tags/POI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>POI</span></a>) data, and <a href="https://mapstodon.space/tags/traffic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>traffic</span></a> data, among others. <br><a href="https://spatialists.ch/posts/2025/04-14-new-geospatial-data-in-google-bigquery/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">spatialists.ch/posts/2025/04-1</span><span class="invisible">4-new-geospatial-data-in-google-bigquery/</span></a> <a href="https://mapstodon.space/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GIS</span></a> <a href="https://mapstodon.space/tags/GISchat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISchat</span></a> <a href="https://mapstodon.space/tags/geospatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geospatial</span></a> <a href="https://mapstodon.space/tags/SwissGIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SwissGIS</span></a></p>
Clinton<p>Diving into <a href="https://mastodon.social/tags/Vermont" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Vermont</span></a> wildlife for the <a href="https://mastodon.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a> "circle" day! 🦌 Using <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> &amp; <a href="https://mastodon.social/tags/plotly" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plotly</span></a> to compare monthly <a href="https://mastodon.social/tags/Moose" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Moose</span></a> and <a href="https://mastodon.social/tags/BlackBear" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BlackBear</span></a> sightings 🐻 Data wrangled with <a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> and <a href="https://mastodon.social/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a>. Any guesses which animal is seen more consistently throughout the year? 😜 <a href="https://mastodon.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataViz</span></a> <a href="https://mastodon.social/tags/Wildlife" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Wildlife</span></a> <a href="https://mastodon.social/tags/RadialChart" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RadialChart</span></a></p>
Hacker News<p>BigQuery pricing model cost us $10k in 22 seconds</p><p><a href="https://www.linkedin.com/posts/yingjun-wu_%F0%9D%90%81%F0%9D%90%A2%F0%9D%90%A0%F0%9D%90%90%F0%9D%90%AE%F0%9D%90%9E%F0%9D%90%AB%F0%9D%90%B2%F0%9D%90%AC-%F0%9D%90%91%F0%9D%90%88%F0%9D%90%83%F0%9D%90%88%F0%9D%90%82%F0%9D%90%94%F0%9D%90%8B%F0%9D%90%8E%F0%9D%90%94-activity-7307736315079405569-F2Ng" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/posts/yingjun-wu_</span><span class="invisible">%F0%9D%90%81%F0%9D%90%A2%F0%9D%90%A0%F0%9D%90%90%F0%9D%90%AE%F0%9D%90%9E%F0%9D%90%AB%F0%9D%90%B2%F0%9D%90%AC-%F0%9D%90%91%F0%9D%90%88%F0%9D%90%83%F0%9D%90%88%F0%9D%90%82%F0%9D%90%94%F0%9D%90%8B%F0%9D%90%8E%F0%9D%90%94-activity-7307736315079405569-F2Ng</span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> <a href="https://mastodon.social/tags/Cost" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cost</span></a> #$10k <a href="https://mastodon.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalysis</span></a> <a href="https://mastodon.social/tags/CloudComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CloudComputing</span></a> <a href="https://mastodon.social/tags/PricingModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PricingModel</span></a> <a href="https://mastodon.social/tags/TechNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechNews</span></a></p>
N-gated Hacker News<p>🍕🎨 "Map of Python" is the digital dabbling of a cartographer, lost in the vast jungle of 500,000+ <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> packages, desperately trying to create art from JSON blobs. 🧩🤷‍♂️ But hey, at least there's <a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> to save the day from the horror of actually downloading data! 🚀🧐<br><a href="https://fi-le.net/pypi/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">fi-le.net/pypi/</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataVisualization</span></a> <a href="https://mastodon.social/tags/Cartography" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cartography</span></a> <a href="https://mastodon.social/tags/ArtInTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtInTech</span></a> <a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/ngated" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ngated</span></a></p>
Recce - Trust, Verify, Ship<p>❌ No more manually cross-referencing dbt docs from dev and prod</p><p>❌ No more manually checking schemas in your data warehouse</p><p>❌ No more manually comparing row-counts on models.</p><p>See a trend? </p><p>Read how an experienced data professional validates zero regression on a <a href="https://mastodon.social/tags/dbt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dbt</span></a> PR:</p><p><a href="https://www.linkedin.com/posts/abdelm_recce-dbt-activity-7300436694808358914-aKiF?rcm=ACoAAAVLBgkB6r61wCsOcKgFDrtf_EEEe3UjdXs" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/posts/abdelm_recc</span><span class="invisible">e-dbt-activity-7300436694808358914-aKiF?rcm=ACoAAAVLBgkB6r61wCsOcKgFDrtf_EEEe3UjdXs</span></a></p><p><a href="https://mastodon.social/tags/DataEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataEngineering</span></a> <a href="https://mastodon.social/tags/dbt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dbt</span></a> <a href="https://mastodon.social/tags/Data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Data</span></a> <a href="https://mastodon.social/tags/Analytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Analytics</span></a> <a href="https://mastodon.social/tags/AnalyticsEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AnalyticsEngineering</span></a> <a href="https://mastodon.social/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a> <a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a></p>
Stuifbergen.com<p><strong>GA4 intraday exports and cookieless pings</strong></p><p>I build a lot of reports for clients that use Big Query GA4 as source.</p><p>Now.. that works like a charm. But.. you will need to wait some time to get processed data from the <code>events_</code> tables.</p><p>More recent data will appear in the streaming <code>_intraday_</code> tables, if you have that enabled. But.. that data is not always complete! Especially when your site has <em>consent mode</em> enabled, and does not set a cookie until after consent.</p><p>Here’s how it works:</p><p><strong>The scenario</strong></p><p>Someone visits the site for the first time (source: some campaign), gets confronted with the cookie banner, and then clicks accept.</p><p>We tagged the site correctly, so this is what happens</p><ol><li>a <code>page_view</code> event triggers (with URL parameters) – and notices analytics consent is denied (the default)</li><li>the tracker attaches some parameters to this hit, to help processing<ul><li>a session is started</li><li>this is the first visit</li></ul></li><li>there is an item list on the page: <code>view_item_list</code> event is triggered</li><li>the cookiebanner pops up (event: <code>cookiebar_view</code>)</li><li>the visitor clicks accept (event: <code>cookiebar_accept</code>) and the tracker gets sent a <code>granted</code> signal</li><li>now the cookie can be uses, and is attached to an automatic event <code>user_engagement</code></li></ol><p>Sounds simple. Now, let’s see what is streamed into Big Query:</p><p><strong>The streaming data gap</strong></p><p>Basically, the intraday tables store what happens, as it happens.</p><ul><li>cookie field ( <code>user_pseudo_id</code> ) is filled in on hits on/after consent</li><li>cookie field is <code>NULL</code> for hits before consent</li></ul><p>As it should be, right? But there’s a third bullet:</p><ul><li>first batch of events will not appear in the <code>intraday</code> table!</li></ul><p>Here’s what we see (most recent hit first, read from bottom to top)</p><ol><li>the page_view is missing in the streaming table</li><li>the <code>collected_traffic_source</code> information is missing (it is always only filled in on the first batch of events)</li><li>As a byproduct, we also do not see the session start and first visit</li><li>the other events are all sent without a cookie</li><li>after consent, we see the <code>user_pseudo_id</code> – finally</li></ol><p>The next day.. Google has glued it all together</p><p><strong>Processed data: every event has a row</strong></p><p>The following is in the processed data: (most recent hit first, read from bottom to top)</p><ul><li>The page_view event and all other events leading up to the consent have a cookie attached to it! Google rescued that information</li><li>the “Attached” parameters to the hit expand to two extra rows<ul><li>session_start</li><li>first_visit</li></ul></li><li>we have source information: <code>collected_traffic_source</code> is present – on the first batch, as normal</li></ul><p>Not visible in the screenshot: <code>session_traffic_source_last_click</code> – the session information is properly filled in.</p><p><strong>The consequences</strong></p><p>If you decide to use <code>intraday</code> tables in your Big Query reports: be aware that although the information is fresh (no pun intended, GA360 users), it’s incomplete</p><ul><li>intraday misses crucial events, namely the first batch (most often a page_view)<ul><li>bye bye landing_page reports based on page_views</li><li>bye bye traffic source reports based on session_traffic_source_last_click or collected_traffic_source</li></ul></li><li>intraday misses cookies on some events<ul><li>which is not too much of an issue, really</li></ul></li></ul><p><strong>Your experiences?</strong></p><p>Do you use intraday tables in your models? Have you found clever workarounds to get the correct data in?</p><p>Let me know! Drop a comment here, or send me a <a href="https://bsky.app/profile/zjuul.net" rel="nofollow noopener" target="_blank">bluesky</a> message!</p><p><strong>Still here?</strong></p><p>Check out GA4Dataform – a product I’ve helped build that <a href="https://ga4dataform.com/" rel="nofollow noopener" target="_blank">turns the GA4 Big Query exports into usable tables</a>!</p><p></p> <p></p><p><strong>Related posts:</strong></p> <a class="" rel="nofollow noopener" href="https://stuifbergen.com/2021/09/google-analytics-4-truncates-page-location/" target="_blank"><span class="">Google Analytics 4 truncates page location</span></a><a class="" rel="nofollow noopener" href="https://stuifbergen.com/2022/01/making-sense-of-event-parameters-in-ga4/" target="_blank"><span class="">Making sense of Event Parameters in GA4</span></a><a class="" rel="nofollow noopener" href="https://stuifbergen.com/2022/06/powertips-for-ga4-implementations/" target="_blank"><span class="">Make your GA4 life easier: Some powertips!</span></a><a class="" rel="nofollow noopener" href="https://stuifbergen.com/2024/04/smart-incremental-ga4-tables-in-dataform/" target="_blank"><span class="">Smart incremental GA4 tables in Dataform</span></a> <p><a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://stuifbergen.com/tag/big-query/" target="_blank">#bigQuery</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://stuifbergen.com/tag/consent-mode/" target="_blank">#consentMode</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://stuifbergen.com/tag/cookies/" target="_blank">#cookies</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://stuifbergen.com/tag/ga4/" target="_blank">#ga4</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://stuifbergen.com/tag/tagging/" target="_blank">#tagging</a></p>
Gus<p>🚀 DataTalksClub's Data Engineering Zoomcamp Week 3 - BigQuery as a data warehousing solution.</p><p>🎯 For this week's module, we used Google's BigQuery to read Parquet files from a GCS bucket, and compare querying on regular, external and partitioned/clustered tables.</p><p>🔗 My answers to this module: <a href="https://github.com/goosethedev/de-zoomcamp-2025/blob/ecb1f1f3fc69b8d10703eb07328567dab2acf688/03-data-warehousing/README.md" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/goosethedev/de-zoom</span><span class="invisible">camp-2025/blob/ecb1f1f3fc69b8d10703eb07328567dab2acf688/03-data-warehousing/README.md</span></a></p><p><a href="https://mastodon.social/tags/dataengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataengineering</span></a> <a href="https://mastodon.social/tags/bigquery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigquery</span></a> <a href="https://mastodon.social/tags/bootcamp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bootcamp</span></a> <a href="https://mastodon.social/tags/bash" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bash</span></a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a></p>
Jules<p>We released our product as Open Source today!</p><p>So if you're into Google Analytics and Big Query: check it out, it's free to use.</p><p>Tags: <a href="https://mastodon.social/tags/gpl" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gpl</span></a> <a href="https://mastodon.social/tags/ga4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ga4</span></a> <a href="https://mastodon.social/tags/bigquery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigquery</span></a> <a href="https://mastodon.social/tags/measure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>measure</span></a> <a href="https://mastodon.social/tags/sql" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sql</span></a> <a href="https://mastodon.social/tags/dbt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dbt</span></a> <a href="https://mastodon.social/tags/dataform" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataform</span></a> </p><p><a href="https://ga4dataform.com/were-open-source-ga4dataform-community-is-released/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ga4dataform.com/were-open-sour</span><span class="invisible">ce-ga4dataform-community-is-released/</span></a></p>
Nicolas Fränkel 🇺🇦🇬🇪<p>What's the best way to wake up than to try to fix a failing GitHub Workflow, and to finally realize <a href="https://mastodon.top/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Google</span></a> deleted the underlying <a href="https://mastodon.top/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> table because the default expiration date is 60 days?</p><p>Can't there be a big warning when you create the table? 🤬</p><p><a href="https://mastodon.top/tags/DXFailure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DXFailure</span></a> IMHO</p>
PPC Land<p>Google Analytics updates BigQuery Export with enhanced traffic source analysis: Learn about the latest Google Analytics BigQuery export enhancement adding session-scoped traffic source fields for deeper insights. <a href="https://ppc.land/google-analytics-updates-bigquery-export-with-enhanced-traffic-source-analysis/?utm_source=dlvr.it&amp;utm_medium=mastodon" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ppc.land/google-analytics-upda</span><span class="invisible">tes-bigquery-export-with-enhanced-traffic-source-analysis/?utm_source=dlvr.it&amp;utm_medium=mastodon</span></a> <a href="https://mastodon.social/tags/GoogleAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GoogleAnalytics</span></a> <a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> <a href="https://mastodon.social/tags/DataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalytics</span></a> <a href="https://mastodon.social/tags/TrafficSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TrafficSource</span></a> <a href="https://mastodon.social/tags/DigitalMarketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalMarketing</span></a></p>
Guia de TI<p>Webinar de Google Cloud Fundamentals Gratuito da Fast Lane</p><p><a href="https://guiadeti.com.br/webinar-google-cloud-fundamentals-gratuito/?feed_id=10029&amp;_unique_id=675709187aa29" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">guiadeti.com.br/webinar-google</span><span class="invisible">-cloud-fundamentals-gratuito/?feed_id=10029&amp;_unique_id=675709187aa29</span></a></p><p><a href="https://flipboard.social/tags/bigquery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bigquery</span></a> <a href="https://flipboard.social/tags/cloud" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cloud</span></a> <a href="https://flipboard.social/tags/cloudcomputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cloudcomputing</span></a> <a href="https://flipboard.social/tags/googlecloud" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>googlecloud</span></a> <a href="https://flipboard.social/tags/tecnologia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tecnologia</span></a><br><a href="https://guiadeti.com.br/webinar-google-cloud-fundamentals-gratuito/?feed_id=10029&amp;_unique_id=675709187aa29" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">guiadeti.com.br/webinar-google</span><span class="invisible">-cloud-fundamentals-gratuito/?feed_id=10029&amp;_unique_id=675709187aa29</span></a></p>
Joe<p><a href="https://functional.cafe/tags/Snowflake" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Snowflake</span></a> <a href="https://functional.cafe/tags/Terraform" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Terraform</span></a> and <a href="https://functional.cafe/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a></p>
Neil Craig<p>...and after even more debugging, it turns out that the reason for BigQuery `appendRows()` write failures was that large write data volumes (~5k rows or ~5MB of data) exceed the (undocumented) default `createStreamConnection()` timeout 🤦🏻‍♂️.</p><p> Even the units of the config option (once you find it) are not documented 🤦🏻‍♂️🤦🏻‍♂️. It's in milliseconds as it turns out.</p><p>I upped the timeout to 120s and the failures go away. FFS.</p><p><a href="https://cloud.google.com/nodejs/docs/reference/bigquery-storage/latest/bigquery-storage/managedwriter.writerclient" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">cloud.google.com/nodejs/docs/r</span><span class="invisible">eference/bigquery-storage/latest/bigquery-storage/managedwriter.writerclient</span></a></p><p><a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> <a href="https://mastodon.social/tags/GoogleCloud" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GoogleCloud</span></a> <a href="https://mastodon.social/tags/NodeJS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NodeJS</span></a> <a href="https://mastodon.social/tags/WebDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WebDev</span></a></p>
Neil Craig<p>After a goodly amount of debugging, it turns out that the BigQuery Storage API (for NodeJS at least) function `appendRows()` (which is how you tell it to write data to BigQuery) fails every time if you give it "too much" data.</p><p>This is not documented (and the docs are somewhat minimal for such an important function). I have an open case with Google &amp; have asked for the docs to be improved.</p><p>Thought it might help others to note this.</p><p><a href="https://cloud.google.com/nodejs/docs/reference/bigquery-storage/latest/bigquery-storage/v1.bigquerywriteclient#_google_cloud_bigquery_storage_v1_BigQueryWriteClient_appendRows_member_1_" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">cloud.google.com/nodejs/docs/r</span><span class="invisible">eference/bigquery-storage/latest/bigquery-storage/v1.bigquerywriteclient#_google_cloud_bigquery_storage_v1_BigQueryWriteClient_appendRows_member_1_</span></a></p><p><a href="https://mastodon.social/tags/BigQuery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BigQuery</span></a> <a href="https://mastodon.social/tags/NodeJS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NodeJS</span></a> <a href="https://mastodon.social/tags/WebDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WebDev</span></a></p>