# Google

### Introduction

The Google technology stack is supported in Hop through a number of plugins. We briefly touch upon them below.

### Pipeline Transforms

* [BigQuery Input (Beam)](/data-shaper-1.21/knowing-the-data-shaper-designer/pipelines/transforms/beambigqueryinput.md)
* [BigQuery Output (Beam)](/data-shaper-1.21/knowing-the-data-shaper-designer/pipelines/transforms/beambigqueryoutput.md)
* [Bigtable Input (Beam)](/data-shaper-1.21/knowing-the-data-shaper-designer/pipelines/transforms/beambigtableinput.md)
* [Bigtable Output (Beam)](/data-shaper-1.21/knowing-the-data-shaper-designer/pipelines/transforms/beambigtableoutput.md)
* [GCP Pub/Sub Publisher (Beam)](/data-shaper-1.21/knowing-the-data-shaper-designer/pipelines/transforms/beamgcppublisher.md)
* [GCP Pub/Sub Subscriber (Beam)](/data-shaper-1.21/knowing-the-data-shaper-designer/pipelines/transforms/beamgcpsubscriber.md)

### VFS

Apache [VFS Support](/data-shaper-1.21/knowing-the-data-shaper-designer/apache-hop-virtual-file-system.md) in Hop allows you to directly read from a multitude of file systems and protocols, including Google:

* [Google Drive](/data-shaper-1.21/knowing-the-data-shaper-designer/apache-hop-virtual-file-system/google-drive-vfs.md): read and write data directly from and to Google Drive files and folders.
* [Google Cloud Storage](/data-shaper-1.21/knowing-the-data-shaper-designer/apache-hop-virtual-file-system/google-cloud-storage-vfs.md): read and write data directly from and to files and folders in Google Cloud Storage buckets

### Beam vs Google Cloud

When executing your pipeline using a Beam runner which is NOT DataFlow, make sure to pass the default Google cloud project ID by running:

`gcloud config set project <project-id>`

This affects Google Cloud specific APIs like BigQuery, Pub/Sub and others.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.primeur.com/data-shaper-1.21/knowing-the-data-shaper-designer/technology/index-3.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.