> ## Documentation Index > Fetch the complete documentation index at: https://docs.nekt.com/llms.txt > Use this file to discover all available pages before exploring further. # Storm as a data source > Bring data from Storm to Nekt. Storm is a real-time data processing platform. (Please customize this description if you have more details about the platform's specific features or industry focus.) ## 1. Add your Storm access 1. In the [Sources](https://app.nekt.ai/sources) tab, click on the "Add source" button located on the top right of your screen. Then, select the Storm option from the list of connectors. 2. Click **Next** and you'll be prompted to add your access. * **Client ID:** The client ID associated with your Storm workspace (required for authentication purposes).. * **Username:** The username to authenticate against the API service. * **Password:** The password to authenticate against the API service. * **Lookback window:** The lookback window to apply in each extraction to ensure data integrity. * **Start Date:** The date of the first record you want to sync with. We will extract every record created or updated after this. 3. Click **Next**. ## 2. Select your Storm streams 1. The next step is letting us know which streams you want to bring. A stream is an entity and you can select the whole entity (meaning all available attributes will come in each table) or only a subset of them. > Tip: The stream can be found more easily by typing its name. 2. Click **Next**. ## 3. Configure your Storm data streams 1. Customize how you want your data to appear in your catalog. Select the desired layer where the data will be placed, a name for each table (which will effectively contain the fetched data) and the type of sync. * **Layer**: choose between the existing [layers](https://docs.nekt.com/get-started/core-concepts/catalog-layers) on your catalog. This is where you will find your new extracted tables as the extraction runs successfully. * **Table name**: we suggest a name, but feel free to customize it. You have the option to add a **prefix** to all tables at once and make this process faster! * **Sync Type**: depending on the data you are bringing to the lake, you can choose between INCREMENTAL and FULL\_TABLE. Read more about Sync Types [here](https://docs.nekt.com/get-started/core-concepts/types-of-sync). 2. Click **Next**. ## 4. Configure your Storm data source 1. Describe your data source for easy identification within your organization. You can inform things like what data it brings, to which team it belongs, etc. 2. To define your [Trigger](https://docs.nekt.com/get-started/core-concepts/triggers), consider how often you want data to be extracted from this source. This decision usually depends on how frequently you need the new table data updated (every day, once a week, or only at specific times). 3. Optionally, you can define some additional settings (if available). * Configure Delta Log Retention and determine for how log we should store old states of this table as it gets updated. Read more about this resource [here](https://docs.nekt.com/get-started/core-concepts/resource-control). * Determine when to execute an **Additional [Full Sync](https://docs.nekt.com/get-started/core-concepts/types-of-sync#additional-full-sync)**. This will complement the incremental data extractions, ensuring that your data is completely synchronized with your source every once in a while. ### Check your new source! 1. Click **Next** to finalize the setup. Once completed, you'll receive confirmation that your new source is set up! 2. You can view your new source on the [Sources](https://app.nekt.ai/sources) page. Now, for you to be able to see it on your [Catalog](https://app.nekt.ai/catalog), you have to wait for the pipeline to run. You can now monitor it on the [Sources](https://app.nekt.ai/sources) page to see its execution and completion. If needed, manually trigger the pipeline by clicking on the refresh icon. Once executed, your new table will appear in the Catalog section. > If you encounter any issues, reach out to us via Slack, and we'll gladly assist you! ## Skills for agents Storm connector documentation as plain markdown, for use in AI agent contexts.