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This page will walk through the setup of BigQuery in K using the direct connect method.

Integration details

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Included

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Usage

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Sensitive Data Scanner

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Sensitive Scanner does not currently support Big Query.

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Step 1) Setup a Google Cloud Service Account

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  • Create a Service Account by going to the Google Cloud Admin or clicking on this link

    • Give the Service Account a name (e.g. KADA BQ Integration)

    • Select the Projects that include the BigQuery instance(s) that you want to catalog

    • Click Save

  • Create a Service Token

    • Click on the Service Account

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    • Select the Keys tab. Click on Create new key

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    • Select the JSON option. After clicking ‘CREATE’, the JSON file will automatically download to your device. Provide this to the user(s) that will complete the next steps

  • Add grants on the Service Account by going to IAM page or clicking on this link

    • Click on ADD

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    • Add the Service Account to the ‘New principals’ field.

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    • Grant the following roles this principal as shown in the following screenshot.

      • BigQuery Job User

      • BigQuery Metadata Viewer

      • BigQuery Read Session User

      • BigQuery Resource Viewer

    • Click SAVE

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Step 2) Connecting K to BigQuery

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  • Select Direct Connect

  • Fill in the Source Settings and click Save & Next

    • Name: The name you wish to give your BigQuery Service in K

    • Host: Add your BigQuery Host Name (e.g. cloud.google.com)

    • Region: Select the region your Service is located in (check with your admin if you are unsure)

  • Add the Connection details and click Save & Next when connection is successful

    • Credentials: Copy the content of the Credentials.json created in Step 1

  • Test your connection and click Save

  • Select the Databases you wish to load into K and click Finish Setup

    • All databases will be listed. If you have a lot of databases this may take a few seconds to load

  • Return to the Sources page and locate the new BigQuery source that you loaded

  • Click on the clock icon to select Edit Schedule and set your preferred schedule for the BigQuery load

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