# Google BigQuery

As with most other integrations, deploying to Google BigQuery is similar to importing datasets. Once you have a project you want to deploy, you can set up the automatic deployment back into the project you started with or select a new project entirely.

First, select Google BigQuery from the Deployments tab.

<figure><img src="/files/D9qT7GOr2tjPEYb3sx3T" alt=""><figcaption></figcaption></figure>

First, select the BigQuery project from Project Selection.

Then select the 'Select Dataset' drop-down and scroll to the dataset you want if it's already imported or select 'Connect Dataset.'

<figure><img src="/files/eyWs3D9aj92N8tptz50x" alt=""><figcaption></figcaption></figure>

As with importing a dataset, you must drill down from Project -> Dataset -> Table.

<figure><img src="/files/ikvqLvpR2TG3JVDZblme" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/NAERPsQ4wO0OwNdyTmLy" alt=""><figcaption></figcaption></figure>

Next, please make sure the column headers match or make whatever changes are needed and click to preview the deployment.

<figure><img src="/files/fK41FtfB9WVBYjpuGts8" alt=""><figcaption></figcaption></figure>

When you are happy, click deploy. Remember, you can output to BigQuery independent of where your initial training data came from.

<figure><img src="/files/oAwUO0FIk1EEb141aRji" alt=""><figcaption></figcaption></figure>


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