In previous articles, we explored how Snowpark Container Services can open doors to a complete data stack running solely on Snowflake (here) and showcased all essential tools Snowflake provides to achieve this (here). Now, it’s time to dive into the practical side of things. This article will guide you through a step-by-step implementation of running dbt in Snowpark Container Services, covering everything from setup and containerisation all the way to scheduling and monitoring. If you’re trying to create a simple containerised dbt setup, this guide will help you put all theory into action!
In today’s rapidly evolving tech landscape, the integration of advanced language models with robust data management systems is opening new horizons for data processing and analytics. One of the most…