<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>dbt on philliant</title><link>https://philliant.com/series/dbt/</link><description>Recent content in dbt on philliant</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 philip mathew hern</copyright><lastBuildDate>Mon, 30 Mar 2026 16:34:36 -0700</lastBuildDate><atom:link href="https://philliant.com/series/dbt/index.xml" rel="self" type="application/rss+xml"/><item><title>dbt tests</title><link>https://philliant.com/posts/20260330-dbt-tests/</link><pubDate>Mon, 30 Mar 2026 16:34:36 -0700</pubDate><guid>https://philliant.com/posts/20260330-dbt-tests/</guid><description>dbt tests are one of the highest-leverage habits in analytics engineering, but they are often underfunded in real projects. this post explains how i use generic and singular tests, what to prioritize first, and a few practical examples you can copy today.</description></item><item><title>dbt docs</title><link>https://philliant.com/posts/20260330-dbt-docs/</link><pubDate>Mon, 30 Mar 2026 04:39:08 -0700</pubDate><guid>https://philliant.com/posts/20260330-dbt-docs/</guid><description>dbt docs are one of the most overlooked features in a dbt project, but they are one of the most valuable for teammates who consume data without building it. i walk through how they work, what options matter, and how to host them for free on github pages.</description></item></channel></rss>