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Hyperlint Automation Fix
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src/content/docs/analytics/analytics-integrations/looker.mdx

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If you have not used Cloudflare Logs before, refer to the [Logs documentation](/logs/) for more details. Contact your Cloudflare Customer Account Team to enable logs for your account.
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This tutorial uses Cloudflare Logpush to send logs to [Google Cloud Storage Bucket](https://cloud.google.com/storage) and Cloud Function and then import them into Google Big Query.
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This tutorial uses Cloudflare Logpush to send logs to [Google Cloud Storage Bucket](https://cloud.google.com/storage) and Cloud Function and then import them into Google BigQuery.
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### Prerequisites
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6. For **Starting Point**, choose \*Clone Public Git Repository\*\*.\*\*\*
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7. Enter the *cloudflare\_block* URL for the public Git repository `git://github.com/llooker/cloudflare_block.git`.
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Enter the *Cloudflare_block* URL for the public Git repository `git://github.com/llooker/cloudflare_block.git`.
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8. Click **Create Project**. Looker will pull all of the repository files into a new LookML project.
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To update the connection name in the LookML files:
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1. In your LookML **cloudflare\_looker** model file, replace the **connection** name with yours, for example:
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1. In your LookML **Cloudflare_looker** model file, replace the **connection** name with yours, for example:
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`connection: "bigquery_lpr"`.
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2. Check if any table names need to be updated to your database connection names as well. If you decide to rename the filenames for explore, model name, and view, make sure to update all mentions within the other files. Otherwise, you might encounter errors.

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