Data location and transfers
This page explains the concepts of transfer configuration location and source data location, and also describes how locations and transfers interact.
For more information about BigQuery locations more generally, see Dataset locations.
Transfer configurations also have locations. When you set up a transfer, if the destination dataset does not exist, you will need to create it in BigQuery before configuring the transfer. The location of the transfer configuration is automatically set to the same location that you specified for the destination dataset. The BigQuery Data Transfer Service processes and stages data in the same location as the destination BigQuery dataset.
Source data location
The source data you wish to transfer to BigQuery may also have a region. In some cases, the region where your source data is stored and the location of the destination dataset in BigQuery are irrelevant. In other kinds of transfers, the dataset and the source data must be colocated in the same region.
For transfers that require colocation, setting up a transfer to a destination dataset in a region that is different from, or not compatible with, your source data's region could result in configuration errors.
Location considerations for transfers
Colocation not necessary
The following types of transfers made by the BigQuery Data Transfer Service are not location-specific, so the location of the BigQuery dataset is irrelevant:
- Reports from Google products and services
- Transfers from external sources
Transfers from Cloud Storage to BigQuery require that the Cloud Storage bucket be colocated with the BigQuery destination dataset.
Colocate your Cloud Storage buckets for transferring data.
- If your BigQuery dataset is in a multi-region, the Cloud Storage bucket containing the data you're transferring must be in the same multi-region or in a location that is contained within the multi-region. For example, if your BigQuery dataset is in the `EU` multi-region, the Cloud Storage bucket can be located in the `europe-west1` Belgium region, which is within the EU.
- If your dataset is in a region, your Cloud Storage bucket must be in the same region. For example, if your dataset is in the `asia-northeast1` Tokyo region, your Cloud Storage bucket cannot be in the `ASIA` multi-region.
Data warehouse migrations
Data warehouse migrations from Teradata require a Cloud Storage bucket as part of the transfer process. The Cloud Storage bucket must be colocated with the BigQuery destination dataset.
Redshift data warehouse migrations do not require a colocated Cloud Storage bucket.
- View all the Google Cloud services available in locations worldwide.
- Explore additional location-based concepts, such as zones, that apply to other Google Cloud services.