Run Airflow and dbt pipelines on Snowflake locally with LocalStack

A comprehensive tutorial outlines the process of setting up a local environment for orchestrating dbt projects on Snowflake using Apache Airflow, LocalStack, and Amazon MWAA. The guide explains how to create a hotel booking system model, where data from CSV files is loaded into Snowflake, transformed using dbt models, and queried to verify the outcomes. The orchestration is managed by Amazon MWAA, emulated locally through LocalStack, which allows the entire stack to run on a single machine, utilizing a Snowflake emulator to avoid relying on shared cloud resources. The tutorial describes the steps to establish connections, configure the environment, and deploy the necessary files for the dbt and Airflow integration, detailing the process of transforming raw data into analytical insights using a series of dbt models converted into Airflow tasks by Astronomer Cosmos. This setup facilitates rapid iterations on SQL models and seamless re-deployment of changes, demonstrating a fully local environment capable of executing complex data transformations and analyses.

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