Data engineering project template

Detailed explanation can be found in this post

Prerequisites

To use the template, please install the following.

1. git
2. Github account
3. Terraform
4. AWS account
5. AWS CLI installed and configured
6. Docker with at least 4GB of RAM and Docker Compose v1.27.0 or later

If you are using windows please setup WSL and a local Ubuntu Virtual machine following the instructions here. Install the above prerequisites on your ubuntu terminal, if you have trouble installing docker follow the steps here.

Setup infra

You can create your GitHub repository based on this template by clicking on the `Use this template button in the data_engineering_project_template repository. Clone your repository and replace content in the following files

1. CODEOWNERS: In this file change the user id from @josephmachado to your Github user id.
2. cd.yml: In this file change the data_engineering_project_template part of the TARGET parameter to your repository name.
3. variable.tf: In this file change the default values for alert_email_id and repo_url variables with your email and github repository url respectively.

Run the following commands in your project directory.

# Local run & test
make up # start the docker containers on your computer & runs migrations under ./migrations
make ci # Runs auto formatting, lint checks, & all the test files under ./tests

# Create AWS services with Terraform
make tf-init # Only needed on your first terraform run (or if you add new providers)
make infra-up # type in yes after verifying the changes TF will make

# Wait until the EC2 instance is initialized, you can check this via your AWS UI
# See "Status Check" on the EC2 console, it should be "2/2 checks passed" before proceeding
# Wait another 5 mins, Airflow takes a while to start up

make cloud-airflow # this command will forward Airflow port from EC2 to your machine and opens it in the browser
# the user name and password are both airflow

make cloud-metabase # this command will forward Metabase port from EC2 to your machine and opens it in the browser
# use https://github.com/josephmachado/data_engineering_project_template/blob/main/env file to connect to the warehouse from metabase

Data infrastructure

Project structure

Database migrations can be created as shown below.

make db-migration # enter a description, e.g. create some schema
# make your changes to the newly created file under ./migrations
make warehouse-migration # to run the new migration on your warehouse

For the continuous delivery to work, set up the infrastructure with terraform, & defined the following repository secrets. You can set up the repository secrets by going to Settings > Secrets > Actions > New repository secret.

1. SERVER_SSH_KEY: We can get this by running terraform -chdir=./terraform output -raw private_key in the project directory and paste the entire content in a new Action secret called SERVER_SSH_KEY.
2. REMOTE_HOST: Get this by running terraform -chdir=./terraform output -raw ec2_public_dns in the project directory.
3. REMOTE_USER: The value for this is ubuntu.

Tear down infra

After you are done, make sure to destroy your cloud infrastructure.

make down # Stop docker containers on your computer
make infra-down # type in yes after verifying the changes TF will make