> ## Documentation Index
> Fetch the complete documentation index at: https://docs.paradime.io/llms.txt
> Use this file to discover all available pages before exploring further.

# GCP Dataflow

> Launch Google Cloud Dataflow jobs from Paradime Bolt schedules and the CLI so you can orchestrate streaming and batch pipelines alongside your dbt runs.

[Google Cloud Dataflow](https://cloud.google.com/dataflow) is a managed service for executing Apache Beam data processing pipelines at scale. Trigger Dataflow jobs as part of your Paradime Bolt schedules using the Paradime CLI.

## What you can do

* Launch a Dataflow job from a classic or flex template, optionally passing template parameters and waiting for completion

## Prerequisites

* `GCP_SERVICE_ACCOUNT_KEY_FILE`: path to a GCP service account JSON key file with permissions to launch Dataflow jobs
* `GCP_PROJECT_ID`: your GCP project ID
* `GCP_LOCATION`: GCP region (e.g. 'us-central1')

## Trigger from Bolt

Set your credentials as [environment variables](/products/settings/environment-variables/bolt-schedule-env-variables) on your Bolt schedule, then run the command as part of the schedule.

See the full command reference, flags, and examples in the [GCP Dataflow CLI](/developers/paradime-cli/gcp-dataflow-cli) documentation.


## Related topics

- [GCP Dataflow CLI](/developers/paradime-cli/gcp-dataflow-cli.md)
- [GCP Datastream](/integrations/gcp-datastream.md)
- [GCP Dataproc](/integrations/gcp-dataproc.md)
- [GCP Dataproc CLI](/developers/paradime-cli/gcp-dataproc-cli.md)
- [GCP Datastream CLI](/developers/paradime-cli/gcp-datastream-cli.md)