> For the complete documentation index, see [llms.txt](https://docs.pentaho.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pentaho.com/pentaho-data-mastering/sourcing-data/adding-a-data-source/adding-data-sources-in-bulk.md).

# Adding data sources in bulk

Add multiple data sources at one time in the Pentaho Data Mastering by importing a JSON file that contains all the information for the data sources.

Perform the following steps to create multiple data sources at one time:

1. On the left navigation menu, click **Master Data**. The **Master Data** page opens.
2. In the **Resources** card, click **Data Sources**.

   The Data Sources page opens.
3. Click **Add Data Source** and select **Import Data Source(s)**.

   The Import Data Source(s) dialog box opens.
4. Browse to and select the JSON file that contains the data sources information to import.

   **Tip:** You can drag and drop the JSON file into the Import Data Source(s) dialog box.
5. Click **Continue**.

   A confirmation message is shown in the top-right corner of the page and the new data sources are added to the data source table.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.pentaho.com/pentaho-data-mastering/sourcing-data/adding-a-data-source/adding-data-sources-in-bulk.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.