> For the complete documentation index, see [llms.txt](https://docs.tailer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tailer.ai/data-pipeline-operations/stream-incoming-data-with-api-to-storage.md).

# Stream incoming data with API To Storage

## **📋 How to deploy an API To Storage data operation**

1. Access your **tailer** folder (created during [installation](/getting-started/install-tailer-sdk.md)).
2. Create a working folder as you want, and create a JSON file for your data operation inside.
3. Prepare your JSON configuration file. Refer to this page to learn about all the [parameters](/data-pipeline-operations/load-data-with-storage-to-tables/storage-to-tables-configuration-file.md).
4. Access your working folder by running the following command:

   ```
   cd "[path to your working folder]"
   ```
5. To deploy the data operation, run the following command:

   ```
   tailer deploy your-file.json
   ```
6. Log in to [Tailer Studio](https://studio.tailer.ai) to check the status and details of your data operation.
7. Access your output table(s), and archive folder, if any, to check the result of the data operation.

{% hint style="danger" %}
The incoming data, a base64 encoded JSON payload, MUST follow the following rules:

* attributes names must be written in Camel or Snake case, i.e : shortDescription or short\_description
* the source attribute must be names "input\_data" and should be of type "array"
  {% endhint %}


---

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