To use this solution, you  _ **should not use the project itself** _  but the [Dataiku Application](https://doc.dataiku.com/dss/latest/applications/index.html) that comes with it. This application should be available on the  **home page of Dataiku under the Applications section**.

It will help you connect your data regardless of the connection type and configure the whole flow according to your specific batch parameters seamlessly. 


  1. Create a new Dataiku application by clicking the  **CREATE APP INSTANCE**  button. This will create a new instance of the parent project that you can configure with your specific needs. You can create as many instances as you need (for example, if you want to apply this solution to other data).
   
  2. Select your connections : 
    ![Capture d’écran 2022-12-02 à 16.38.19.png](0TggW8WDgVvd)
   - select the connection that can connect to the [two input datasets](article:3)
   ```in the example sample shipped with the project, the connection should be "filesystem_managed" as the dataset is stored as a local file```
    - click on the  **RECONFIGURE** button
   
   3. Now that the connections are configured, you need to select the table/file that should be used as inputs within this connection : 
   - click on  _ **input_batch_data** _ .It will open the dataset configuration window, where you can select the table or file (depending on your connection type) that will be used as batch data. Once selected, click on  **SAVE**  in the top right corner, and come back to the application configuration page.
   - do the same with **input_sensor_data** to connect sensor data.
  - click on the  **CHECK**. If this step fails, it means that your data do not comply with the [required data model](article:3). In this case, check the scenario logs to see which columns are missing or have the wrong type.
  
  4. Choose the batch attributes that will be used in the prediction in conjunction with sensor data : 
    ![Capture d’écran 2022-12-02 à 16.38.26.png](f1ZmKLBcchb5)
    - Click on the  **LOAD**  button to load the available custom columns existing in the batch dataset
    - Select the attributes that you think will impact the risk of failure in the dropdown list. It will only display your available custom columns, as other standard columns are already considered by default.
    - Click on  **RUN** button to build the flow according to your configuration. It can take up to a few hours if you have a lot of data.
    
  5. Once the build is finished you can click on  **OPEN WEBAPP**  to [use the generated dashboard and model](article:5)
      ![Capture d’écran 2022-12-02 à 16.38.37.png](RsIr3FlRFaRY)

  



