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You can use Workflows to execute services in an order you define: a workflow. Combine the power of Google Cloud services, custom services hosted on Cloud Run functions or Cloud Run, and any HTTP-based API to create flexible serverless applications. Workflows requires no infrastructure management and scales seamlessly with demand, including scaling down to zero. Learn more

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Documentation resources

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Explore self-paced training from Google Cloud Skills Boost, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.
Training
Training and tutorials

Run a batch translation using the Cloud Translation connector

Learn how to use the Cloud Translation API connector to translate files to other languages in asynchronous batch mode.

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Training
Training and tutorials

Use Workflows with Cloud Run and Cloud Functions

Learn how to use Workflows to link two public HTTP services (using Cloud Functions), an external REST API, and a private Cloud Run service together.

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Training
Training and tutorials

Create a human-in-the-loop workflow using callbacks

Learn how to create a workflow that supports a callback webhook and waits for your input to reject or validate the translation of some text.

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Training
Training and tutorials

Run multiple BigQuery jobs in parallel

Run multiple BigQuery query jobs in parallel, improving performance when compared to running the jobs serially.

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Training
Training and tutorials

Run a Batch job using Workflows

Learn how to use Workflows to schedule and run a Batch job that executes six tasks in parallel on two Compute Engine VMs.

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Training
Training and tutorials

Load data from Cloud Storage to BigQuery using Workflows

Learn how to run serverless workflows using Workflows, Cloud Functions, and Firestore to load raw data, such as event logs, from Cloud Storage to BigQuery.

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