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API credentials storage for BigQuery notebook

Hi there,

Is it possible to access APIs via BQ Notebooks? If yes, where do we store credentials - can I use GCP Secrets Manager or store in GCP Storage?

Many thanks for helping   

Phoebe

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1 ACCEPTED SOLUTION

Yes, it is possible to access APIs via BQ Notebooks in Google Cloud. You can use the following approaches:

  1. Using Google Cloud Client Libraries:

    • Install the relevant Google Cloud client libraries in your BQ Notebook environment.
    • Utilize these libraries to interact with Google Cloud services' APIs.
    • Authenticate your API calls using service account credentials, ensuring the service account has the necessary permissions.
  2. Using Python Libraries for External APIs:

    • For external APIs (non-Google services), install Python libraries like requests.
    • Use these libraries to make API calls within your notebook.
    • Securely store your API credentials, avoiding hardcoding them directly in the notebook. Use services like Secrets Manager for enhanced security.
  3. Executing Shell Commands:

    • Utilize the ! operator to execute shell commands within your notebook.
    • This method is useful for integrating CLI tools or scripts that interact with APIs.
    • Store credentials in Secrets Manager or as environment variables, ensuring they are not exposed in the notebook.

Storing Credentials Securely

Storing API credentials directly within your notebook is not recommended due to security risks. Here are more secure options:

  1. Google Cloud Secrets Manager:

    • The preferred method for storing sensitive information like API credentials and tokens.
    • Access secrets in your BQ Notebook using the Secrets Manager client library.
    • This method provides robust access control and audit logging.
  2. Google Cloud Storage:

    • An alternative is to store credentials in a text file within a secured Cloud Storage bucket.
    • Access this file from your BQ Notebook using the Cloud Storage client library.
    • Ensure strict bucket permissions to restrict access.
  3. Environment Variables:

    • Set environment variables in your notebook for storing credentials.
    • This method is more suitable for less sensitive data or temporary use.
    • Ensure the notebook environment is secure and not publicly accessible.

Best Practices for Enhanced Security and Management:

  • Service Account Security: Use service accounts with least privilege access for authentication.
  • Encryption and Rotation: Consider encrypting credentials before storage and regularly rotate them.
  • Audit and Monitoring: Implement regular monitoring and auditing of API access and credential usage.
  • Documentation: Maintain clear documentation and comments in your code, especially when handling API interactions and credentials.
  • Error Handling: Develop robust error handling strategies for API call failures or credential-related issues.

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1 REPLY 1

Yes, it is possible to access APIs via BQ Notebooks in Google Cloud. You can use the following approaches:

  1. Using Google Cloud Client Libraries:

    • Install the relevant Google Cloud client libraries in your BQ Notebook environment.
    • Utilize these libraries to interact with Google Cloud services' APIs.
    • Authenticate your API calls using service account credentials, ensuring the service account has the necessary permissions.
  2. Using Python Libraries for External APIs:

    • For external APIs (non-Google services), install Python libraries like requests.
    • Use these libraries to make API calls within your notebook.
    • Securely store your API credentials, avoiding hardcoding them directly in the notebook. Use services like Secrets Manager for enhanced security.
  3. Executing Shell Commands:

    • Utilize the ! operator to execute shell commands within your notebook.
    • This method is useful for integrating CLI tools or scripts that interact with APIs.
    • Store credentials in Secrets Manager or as environment variables, ensuring they are not exposed in the notebook.

Storing Credentials Securely

Storing API credentials directly within your notebook is not recommended due to security risks. Here are more secure options:

  1. Google Cloud Secrets Manager:

    • The preferred method for storing sensitive information like API credentials and tokens.
    • Access secrets in your BQ Notebook using the Secrets Manager client library.
    • This method provides robust access control and audit logging.
  2. Google Cloud Storage:

    • An alternative is to store credentials in a text file within a secured Cloud Storage bucket.
    • Access this file from your BQ Notebook using the Cloud Storage client library.
    • Ensure strict bucket permissions to restrict access.
  3. Environment Variables:

    • Set environment variables in your notebook for storing credentials.
    • This method is more suitable for less sensitive data or temporary use.
    • Ensure the notebook environment is secure and not publicly accessible.

Best Practices for Enhanced Security and Management:

  • Service Account Security: Use service accounts with least privilege access for authentication.
  • Encryption and Rotation: Consider encrypting credentials before storage and regularly rotate them.
  • Audit and Monitoring: Implement regular monitoring and auditing of API access and credential usage.
  • Documentation: Maintain clear documentation and comments in your code, especially when handling API interactions and credentials.
  • Error Handling: Develop robust error handling strategies for API call failures or credential-related issues.