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Introduction to BigQuery pipelinesYou can use BigQuery pipelines to automate and streamline your BigQuery data processes. With pipelines, you can schedule and execute code assets in sequence to improve efficiency and reduce manual effort.
OverviewPipelines are powered by Dataform.
A pipeline consists of one or more of the following code assets:
You can use pipelines to schedule the execution of code assets. For example, you can schedule a SQL query to run daily and update a table with the most recent source data, which can then power a dashboard.
In a pipeline with multiple code assets, you define the execution sequence. For example, to train a machine learning model, you can create a workflow in which a SQL query prepares data, and then a subsequent notebook trains the model using that data.
CapabilitiesYou can do the following in a pipeline:
Pipelines are subject to the following limitations:
If this is the first time you are creating a code asset, you should set the default region for code assets. You can't change the region for a code asset after it is created.
Note: If you create a pipeline and choose a different default region than the one you have been using for code assets—for example, choosingus-west1 when you have been using us-central1—then that pipeline and all code assets you create afterwards use that new region by default. Existing code assets continue to use the region they were assigned when they were created.
All code assets in BigQuery Studio use the same default region. To set the default region for code assets, follow these steps:
Go to the BigQuery page.
In the Explorer pane, find the project in which you have enabled code assets.
Click more_vert View actions next to the project, and then click Change my default code region.
For Region, select the region that you want to use for code assets.
Click Select.
For a list of regions where is available, see BigQuery Studio locations.
Supported regionsAll code assets are stored in your default region for code assets. Updating the default region changes the region for all code assets created after that point.
The following table lists the regions where pipelines are available:
Quotas and limitsBigQuery pipelines are subject to Dataform quotas and limits.
PricingThe execution of BigQuery pipeline tasks incurs compute and storage charges in BigQuery. For more information, see BigQuery pricing.
Pipelines containing notebooks incur Colab Enterprise runtime charges based on the default machine type. For pricing details, see Colab Enterprise pricing.
Each BigQuery pipeline run is logged using Cloud Logging. Logging is automatically enabled for BigQuery pipeline runs, which can incur Cloud Logging billing charges. For more information, see Cloud Logging pricing.
What's nextExcept as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-08-07 UTC.
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