> 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-management/jsonata-jobs.md).
# JSONata Jobs
The “**JSONata Jobs**” feature allows you to process files directly within the engine, without relying on intermediate steps. When creating a new **JSONata Job**, you must provide a **JSON** file, which will serve as the basis for transformations.
This approach is ideal for handling large volumes of text files or complex JSON structures, as the processing occurs internally and efficiently—ensuring performance and stability even with extensive content.
### Add JSONata Jobs
To add a new “**JSONata Jobs**”, follow these steps:
1. In the left-hand menu, click "**JSONata Jobs**".
2. Then, click "**Add JSONata Job**".
3. The edit screen for the new **JSONata Job** will open automatically. Create and configure your Job..
4. Click “**Execute current Job**” to execute the action..
### JSONata Jobs Options
The top-right menu 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 JSON file, directory, or file set. You can also specify the target directory where the result of the file manipulation will be saved.
* **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.
### Returned Data Panel
After selecting or running a Job in the **Data Warehouse**, the **Returned Data Panel** section displays three distinct tabs with information related to data execution and structure:
{% tabs %}
{% tab title="Files" %}
In this tab, you can view the files available in the selected directory or file filter. It's the starting point to understand which data is being used as input.
{% endtab %}
{% tab title="Output" %}
This tab shows the results of the Job after execution. Here, you can review the content generated based on the applied SQL transformations and queries.
{% endtab %}
{% tab title="Table Metadata" %}
After selecting a table, you can view its metadata, such as column names, data types, and other properties. This tab helps you understand the structure of the data that was generated or manipulated.
{% endtab %}
{% endtabs %}
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