Bigquery Automatically push Sequence data into your Bigquery instance. Data is refreshed every 24h.
Prerequisites:By default, BigQuery authentication uses role-based access. You will need the service account name available to grant access.It should look like: some-name@some-project.iam.gserviceaccount.com.

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Setting up Bigquery for data exports

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Part 1: Create a service account

To get started, create a service account in your BigQuery project.
1

Create service account

In the GCP console, navigate to the IAM & Admin menu, click into the Service Accounts tab, and click Create service account at the top of the menu.
Export to Bigquery
2

Enter user details

In the first step, name the user and click Create and Continue.
Export to Bigquery
3

Grant access

In the second step, grant the user the role BigQuery User.
Export to Bigquery
4

Enter your service account

In the third step (Grant users access to this service account step), within the Service account users role field, enter your Service account (the service account name available to grant access. It should look like some-name@some-project.iam.gserviceaccount.com) and click Done.
5

Find the service account and note down the email

Once successfully created, search for the created service account in the service accounts list, click the Service account name to view the details, and make a note of the email (note: this is a different email than the service’s service account).
6

Add role

Select the permissions tab, find the provided principal name (Service account from the prerequisite), click the Edit principal button (pencil icon), click Add another role, select the Service Account Token Creator role, and click Save.
Export to Bigquery

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Part 2: Create a staging bucket

1

Create new bucket

Log into the Google Cloud Console and navigate to Cloud Storage. Click Create to create a new bucket.
Export to Bigquery
2

Choose region

Choose a name for the bucket. Click Continue. Select a location for the staging bucket. Make a note of both the name and the location (region).
The location you choose for your staging bucket must match the location of your destination dataset in BigQuery. When creating your bucket, be sure to choose a region in which BigQuery is supported (see BigQuery regions)
If the dataset does not exist yet, the dataset will be created for you in the same region where you created your bucket. If the dataset does exist, the dataset region must match the location you choose for your bucket.
3

Add bucket permissions

Click continue and select the following options according to your preferences. Once the options have been filled out, click Create. On the Bucket details page that appears, click the Permissions tab, and then click Add.
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4

Add the service account as a storage admin

In the New principles dropdown, add the Service Account created in Step 1, select the Storage Admin role, and click Save.
Export to Bigquery

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Part 3: Share project details with Sequence

1

Locate the project id

Log into the Google Cloud Console and select the projects list dropdown. Make note of the BigQuery Project ID.
Export to Bigquery
2

Share destination details with the Sequence team

Securely share your Project ID, Bucket Name, Bucket Location, Destination Schema Name and Service Account name with us to complete the connection.
Once shared, we’ll set up the rest to start your automated data exports.