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Version: 0.0.39

Google Cloud Storage

Integrating Google Cloud Storage with Lakehousecat allows seamless interaction with your storage buckets for efficient data management. This guide will outline the steps required to configure a Google Cloud Storage connection within the Lakehousecat workspace.

Prerequisites​

Ensure you have the following before starting the integration process:

  • Access to Lakehousecat as an admin or builder
  • Service Account with the necessary permissions to access Google Cloud Storage
  • JSON-Credentials file associated with the Service Account

Step-by-Step Guide​

  1. Start in the Workspace

    • Navigate to your Lakehousecat workspace where you manage data connections.

  2. Go to the Data Section

    • Click on the 'Data' menu to explore various data-related options within Lakehousecat.

  3. Select "Datasource Types"

    • To view available data sources, select the "Datasource Types" option.

  4. Choose "Google Cloud Storage Datasource Type"

    • Click on the "Google Cloud Storage Datasource Type" to initiate the configuration process.

Step 3: Configure the Google Cloud Storage Connection​

  • Connection Name: Enter a clear and descriptive name for your connection. This name will be used to identify the connection throughout Lakehousecat.
  • JSON-Credentials File Path: Upload the JSON-Credentials file associated with your Google Cloud Service Account. This file contains the key for authenticating access to your storage buckets.
  • Description (Optional): Provide an optional description. This can help other administrators understand the purpose or scope of this connection.

Step 4: Validate and Create the Connection​

  1. After entering the required information, click on the Create button.
  2. Lakehousecat will initiate validation of the connection parameters. Ensure that all details are correct to avoid validation errors.
  3. Once validation is successful, your Google Cloud Storage connection will be established and ready for use.

Best Practices​

  • Naming Conventions: Use a consistent naming convention for connection names to improve recognition and manageability.
  • Description Usage: Utilize the description field to provide insights into the connection's intended use, especially if multiple connections exist.

Troubleshooting​

If you encounter issues during the connection setup:

  • Validation Errors: Double-check the JSON-Credentials file path for correctness.
  • Access Issues: Ensure you have the necessary permissions within both Lakehousecat and the Google Cloud Storage environment.

Alternate Authentication​

In some scenarios, authentication might be handled via API keys:

  • API Key: Access and Secret keys, similar to other cloud storage services, can be used. Ensure these keys are correctly configured within your Google Cloud console.

Follow the same steps mentioned for JSON file upload, substituting the API Keys where applicable.

By carefully following these instructions, you will efficiently establish a robust Google Cloud Storage connection within Lakehousecat for your data management needs.