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Installer Guides

BigQuery

Connecting BigQuery to LightBeam

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Overview

LightBeam Spectra users can connect various data sources to the LightBeam application and these data sources will be continuously monitored for PII, PHI data.

Examples: BigQuery, SMB, MySQL, PostgreSQL, etc.

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Onboarding BigQuery Data Source

  1. Login to your LightBeam Instance.

  2. Click on DATASOURCES on the Top Navigation Bar.

  3. Click on “Add a data source”.

Figure 1. Add Data Source

  1. Search for “BigQuery”.

Figure 2. BigQuery Data Source

  1. Fill in the details as shown below and click Next:

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Basic Information

  1. Instance Name: This is the unique name given to the data source.

  2. Description: This is an optional field needed to describe the use of this data source.

  3. Assign owner: Email address of the person responsible for this data source which will get alerts by default.

  4. Entity Creation: LightBeam Spectra detects and associates attributes based on the context and identifies whose data it is; these are called entities. Example: Jane Doe is an entity for whom LightBeam Spectra might have detected Name and SSN in a monitored data source.

  5. Source of Truth: LightBeam Spectra includes monitored data sources that serve as a single point of truth. These sources are utilized for looking up entities/attributes to verify the accuracy of attributes/entities discovered in other data sources. By using a Source of Truth dataset, entities are formulated based on the attributes present in the data. Note: The checkbox for SOT is optional.

  6. Location: The location of the data source.

  7. Purpose: The purpose of the data being collected/processed.

  8. Stage: The stage of the data source. Example: Source, Processing, Archival, etc.

Figure 3. BigQuery Configuration - Basic Info

  1. Insert the credentials as shown below:

Figure 4. BigQuery Configuration - Connection details

  1. Verify that you get the message Test Connection Success on the screen. Click on Next.

Figure 5. BigQuery Configuration - Test Connection Success

  1. In this step, select specific project(s) that you have to scan from the drop-down list.

Figure 6. BigQuery Configuration - Select project

  1. Check the tickboxes next to the project you would like to add. To add or remove datasets within the project, you can use the '➕' or '➖' signs.

Figure 6.1 BigQuery Configuration - Select project

Now we are ready to connect to the test database and proceed.

Click on Register.

This will show you the following message:

Figure 7. BigQuery - Register Datasource

Click on Okay.

Now you can browse the updated datasource.

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APPENDIX

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Creating a new role in BigQuery

Role: A role is a named set of access privileges that can be granted to users or other roles. These privileges determine what actions a user can perform and on which database objects.

  1. In the Google Cloud console, go to IAM & Admin -> Roles.

Figure 8. Create a new role.

  1. Click on Create Role.

Figure 8.1 Create a new role

  1. Fill in the role name.

Figure 8.2 Create a new role - Assign Permissions

Assign the following permissions to the role:

  1. Navigate to Service Accounts and then click on Create Service Account.

Figure 8.3 Create a new role - Create service account

  1. Enter the required details, such as the name of the service account. Click Create And Continue.

Figure 8.4 Create a new role - Service account details

  1. Grant the role you created in the previous step to this service account and click on Continue And Save.

Figure 8.4 Create a new role - Service account created

  1. Once the service account has been created, select it. Navigate and click on Keys.

Figure 8.5 Create a new role - Click on Keys

  1. Choose Create New Key.

Figure 8.6 Create a new role - Create New Key

  1. For Key Type, choose JSON and then click Create.

Figure 8.7 Create a new role - Select Key Type

10. Download the JSON file and convert it to base64 by using the following command

Now use the JSON key to connect the datasource.

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About LightBeam

LightBeam automates Privacy, Security, and AI Governance, so businesses can accelerate their growth in new markets. Leveraging generative AI, LightBeam has rapidly gained customers’ trust by pioneering a unique privacy-centric and automation-first approach to security. Unlike siloed solutions, LightBeam ties together sensitive data cataloging, control, and compliance across structured and unstructured data applications providing 360-visibility, redaction, self-service DSRs, and automated ROPA reporting ensuring ultimate protection against ransomware and accidental exposures while meeting data privacy obligations efficiently. LightBeam is on a mission to create a secure privacy-first world helping customers automate compliance against a patchwork of existing and emerging regulations.

For any questions or suggestions, please get in touch with us at: [email protected]envelope.

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