<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Flask on mattanalytix</title><link>https://mattanalytix.com/tags/flask/</link><description>Recent content in Flask on mattanalytix</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Mon, 08 May 2023 10:55:44 +0700</lastBuildDate><atom:link href="https://mattanalytix.com/tags/flask/index.xml" rel="self" type="application/rss+xml"/><item><title>Productionising the Process</title><link>https://mattanalytix.com/posts/data-science/gcp-batch-ingestion/2-productionising/</link><pubDate>Mon, 08 May 2023 10:55:44 +0700</pubDate><guid>https://mattanalytix.com/posts/data-science/gcp-batch-ingestion/2-productionising/</guid><description>So your code is working fine locally but you don&amp;rsquo;t want to be stuck running manual scripts every day. In this article, I introduce automating the process with Flask, Docker and Cloud Run.</description></item><item><title>Finally, a better way to deploy DBT on Google Cloud!</title><link>https://mattanalytix.com/posts/dbt/production-setup/</link><pubDate>Sat, 16 Apr 2022 09:09:54 +0100</pubDate><guid>https://mattanalytix.com/posts/dbt/production-setup/</guid><description>For the last year or so I&amp;rsquo;ve been looking for a good way to productionise DBT pipelines on Google Cloud Platform but I&amp;rsquo;ve been frustrated by the solutions I&amp;rsquo;ve found on the web.</description></item></channel></rss>