> For the complete documentation index, see [llms.txt](https://docs.skyone.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.skyone.cloud/english/skyone-studio/data-warehouse/data-jobs.md).

# Data Jobs

"**Data Jobs"** is a feature that allows you to create and execute SQL queries to read, transform, and organize data within **Skyone Studio**. It’s ideal for automating data processing routines and preparing information for use in other workflows or analyses.

### Add a Data Job

To add a new **“Data Job”**, follow these steps:

1. In the left-hand menu, click **“Data Jobs”**.
2. Then, click "**Add Data Job**".
3. The edit screen for the new **Data Job** will be displayed automatically.
4. Click "**Job Configuration"** to select the database.
5. Click the "**Save**" icon to complete the creation. 

### Data Job Options:

The menu in the upper-right corner provides the following actions:

* **Create new Job**: Automatically creates a new Job, which will open in a new tab.
* **Execute current File Job**: Runs the active Job in the current tab, processing the defined queries.
* **Execute current Job in new tab**: Opens a new tab to run the same Job.
* **Job Process List**: Displays all running processes.
* **Job Configuration**: Allows you to configure parameters for the current Job. Settings are organized into two tabs:
  * **General**: Define the Job name and select the desired database (which must be previously registered).
  * **Groups**: Manage access permissions by adding or removing groups as needed.

            Finally, click "**Apply** to save the settings.

* **Save Job**: Saves the current state of the Job.

### Delete a Data Job

To delete a **“Data Job”**, follow these steps:<br>

1. Go to the **“Data Job”** section in the left-hand menu to view all created Data Jobs.
2. Hover over the desired item and click the trash icon.
3. Type the name of the Data Job and click "**Delete**" to confirm the action. Done! The Data Job has been deleted.


---

# 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.skyone.cloud/english/skyone-studio/data-warehouse/data-jobs.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.