# BigQuery

## Setup <a href="#setup" id="setup"></a>

Head to the data warehouse [app section](https://app.usepylon.com/apps?category=data_warehouse) inside Pylon and connect the Big Query app.

{% hint style="info" %}
We recommend creating a new dataset to house your Pylon customer issue data. You can also create a new Project or use an existing one.
{% endhint %}

You’ll need the following to configure your BigQuery connection:

1. **Key File JSON**\
   Create a [service account key](https://cloud.google.com/iam/docs/keys-create-delete#creating) for your account and upload the JSON.
2. **Project ID**\
   The ID of your project.
3. **Dataset ID**\
   Create a [dataset](https://cloud.google.com/bigquery/docs/datasets) where Pylon data will be housed.
4. **(Optional) Location**\
   The [location](https://cloud.google.com/bigquery/docs/locations) in which the dataset is located.
5. **Table ID**\
   The name of the table that data will be written to. Pylon will automatically create this table for you with the proper schema.

After you enter in these details, hit test to verify your connection!


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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.usepylon.com/pylon-docs/integrations/data-warehouse/bigquery.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.