dbt Core, Snowflake, and GitHub Actions: pet project for Data Engineers

This pet project for Data/Analytics Engineers involves using dbt Core, Snowflake, Fivetran, and GitHub Actions to build an end-to-end data lifecycle from Google Calendar to Snowflake Dashboard. It includes steps for data extraction, transformation, storage, and visualization, offering a practical experience with modern data stack tools.

 dbt Core, Snowflake, and GitHub Actions: pet project for Data Engineers

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Unlock the Power of Modern Data Stack Tools for Data Engineers

Key Tools: dbt Core, Snowflake, Fivetran, GitHub Actions

Project Overview

Embark on a pet project that takes you through the entire data lifecycle using cutting-edge tools. Extract data from Google Calendar and showcase it on a Snowflake dashboard. This project is perfect for hands-on learning and practical application.

Technical Steps

Architecture: Google Calendar -> Fivetran -> Snowflake -> dbt -> Snowflake Dashboard

Data Engineering Lifecycle

Data Generation:

  • Use Fivetran to automate data extraction from Google Calendar to Snowflake.
  • Free Trial: Test Fivetran with a 14-day free trial.

Storage:

  • Snowflake is your cloud-based data warehouse for analytics.
  • Free Trial: Get a 30-day free Snowflake trial with a $400 credit.

Ingestion:

  • Set up Google Calendar sync with Fivetran and Snowflake.
  • Access your synced data in Snowflake UI.

Transformation:

  • Use dbt Core for data transformation within Snowflake.
  • dbt Core is free and modularizes SQL queries for reuse and version control.
  • Create structured folders and models for data transformations.
  • Ensure data quality with dbt tests and capture data changes with dbt snapshots.

Serving:

  • Create visual representations of your data with Snowflake Dashboards.

Deploying:

  • Utilize GitHub Actions for automated deployment of your dbt Core project.
  • Set up GitHub secrets for sensitive data.
  • Monitor deployment through GitHub Actions tab.

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