Create a BigQuery dataset in the GCP project

Learn how to create a BigQuery dataset.

Create a BigQuery dataset to allow the GBQ connector to deliver events from your Reltio tenant to the dataset. The Bigquery dataset is the final destination of the GBQ connector and the location should ideally be chosen in accordance with your Reltio MDM tenant region, which will result in better performance and reduce your cost. For more information, see topic Datasets.

Provide Reltio access to your dataset to populate the Reltio GBQ connector with data and maintain the dataset.

Note: If you need to change any objects in the dataset, contact support. Doing this yourself may result in unexpected behavior since Reltio maintains the datasets.

To create a BigQuery dataset:

In the Google Cloud console, select BigQuery.
In the BigQuery page, select the organization or project from where you want to create the dataset from the drop-down list at the top of the page.
In the Explorer pane, select the View actions icon.
Select Create dataset.
In the Create dataset page, provide the following details for your dataset:
1. Project ID: The project ID of the selected project is displayed.
2. Dataset ID: Enter a unique dataset name. For example, PM_tenant_test_3.
3. Data location: Select a geographic location for the dataset from the drop-down menu. After a dataset is created, the location can't be changed.
4. Default table expiration: Select the Enable table expiration checkbox to delete a newly created table in the dataset after the number of days specified in the Default maximum table age field. When you select this checkbox, the Default maximum table age field is enabled.
Select CREATE DATASET.

You've found your way to a temporary environment. Content is not complete or final. Looking for Reltio documentation? Go to docs.reltio.com.

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Create a BigQuery dataset in the GCP project

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