Welcome to this Learning Practical Path for Data Engineer

Clone repository and create your own branch

Open your VS Code and clone the repository in ssh mode [email protected]:devoteamgcloud/dgc-learning-path-data-template.git

Or from your console.

mkdir your/directory/to/clone
cd your/directory/to/clone
git clone [email protected]:devoteamgcloud/dgc-learning-path-data-template.git

Then create your own branch replacing <your-sandbox-project-id> with your GCP Sandbox project ID for instance.

git checkout -b <your-sandbox-project-id>
git push --set-upstream origin <your-sandbox-project-id> 

Configure your G Cloud SDK

Install G Cloud CLI

https://cloud.google.com/sdk/docs/install-sdk

Authenticate

To have a default authentication

gcloud auth application-default login

or

gcloud auth login

Configure your Cloud Build Trigger

Create your PROJECT_ID environment variable.

For Linux/MacOS

export PROJECT_ID=$(gcloud info --format='value(config.project)')

For Windows

set PROJECT_ID=$(gcloud info --format='value(config.project)')

Activate GCP APIs

gcloud services enable serviceusage.googleapis.com cloudresourcemanager.googleapis.com cloudbuild.googleapis.com artifactregistry.googleapis.com --project $PROJECT_ID

Add the Editor role to the SA Cloud build

gcloud projects add-iam-policy-binding $PROJECT_ID \
    --member="serviceAccount:$(gcloud projects describe $PROJECT_ID --format="value(projectNumber)")@cloudbuild.gserviceaccount.com" \
    --role="roles/editor"

Then go to the GCP Console and access the Cloud Build interface from your project id.

• In the left panel, click on Triggers then + CREATE TRIGGER
• add a trigger name (for instance trigger-learning-path)
• In Source -> Repository, connect to the repository.
• In Source -> Branch, add your branch name.
• leave everything as default and click on CREATE.

Well done, you are ready to follow the instructions in the materials folder, starting with chapter_00.md.