<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/71be5b60c6b1484cbe874624590f7f63&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/71be5b60c6b1484cbe874624590f7f63-388e952c56f99867.gif</thumbnail_url><duration>949.393</duration><title>Understanding Your BigQuery Cost Increase and How to Manage It 💰</title><description>In this video, I address the recent spike in our BigQuery bills, which increased by $4,000 last month. I know our CFO has questions, and I want to provide clarity on the situation. Currently, the GCP console shows a wall of job IDs without any context, making it difficult to understand the reasons behind the costs. I introduce Cost Mind as a solution to help us analyze and manage these expenses more effectively. I encourage you to watch and consider how we can leverage this tool to gain better insights.</description></oembed>