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Start for freeSetting Up Google Cloud Storage for Mage Data Operations
When you're working with Mage to manage your data, setting up Google Cloud Storage is a crucial step. First, you'll need to create a new bucket in Google Cloud Storage, ensuring it has a unique name, such as 'Mage Zoom Camp Matt polymer'. Opt for multi-region and enforce Public Access prevention to keep your bucket secure and inaccessible to the public.
Creating a Google Cloud Service Account for Mage
Mage requires a service account to interact with Google Cloud Platform (GCP). To create one, search for 'service account' in GCP and navigate to IAM & Admin. Create a new service account with a name like 'Mage Zoom Camp' and assign it an owner role to give it broad permissions for managing resources in Google Cloud Storage (GCS) and BigQuery. Once created, generate a key, choosing the JSON format, which will download the credentials to your computer.
Configuring Service Account Credentials in Mage
Having downloaded your service account JSON key, the next step is to move this key into your Mage project directory. This can typically be done by simply copying the file to the appropriate location.
Authenticating Mage with Service Account Credentials
Open Mage and navigate to the IO Config section. Here, you can specify how to authenticate with Google service accounts. Remove the default JSON payload option and insert the path to your service account key file. Remember that if you're using Docker, you'll need to mount the file as a volume in your container to make it accessible to Mage.
Testing BigQuery and Google Cloud Storage Integration
With authentication set up, you can now test the connection to BigQuery and GCS. Modify an existing pipeline or create a new one in Mage to load data from BigQuery and ensure it runs successfully. Similarly, test reading from and writing to your Google Cloud Storage bucket to confirm everything is configured correctly.
Uploading Files to Google Cloud Storage
After testing data management within Mage, you can proceed to upload files directly to your Google Cloud Storage bucket. Use the Google Cloud Console or your local development environment to upload files like 'Titanic clean.csv' to your bucket, ensuring they're ready for further processing.
Finalizing the Setup
Your local environment should now be fully integrated with GCS and BigQuery. With this setup complete, you can start building pipelines in Mage that utilize GCP and GCS resources, taking advantage of the cloud's scalability and power for your data management tasks.
For a more detailed walkthrough of this process, including visual aids and step-by-step instructions, watch the full tutorial on YouTube here.