Import data from Dataiku [Beta]
To import data from Dataiku
1. Open an existing pipeline or create a pipeline from the Home Page, Pipelines tab or Workspaces tab and click the Add data option.
Info: You can also click the Import data 
Note: If you had already added a connection earlier, click the required connection and proceed to import. You can also find your saved connections under the Saved connections category from the left pane. To learn more about Saved connections, click here. To get the secret key
- Click the Profile icon from the top-right corner and click the Profile and settings
icon.
- Go to the API keys tab and click the New API key button.
- Provide a Label and Description for the secret key.
- Once your API key gets created copy and paste it in the DataPrep import screen.
Schedule
Schedule configuration
1. Select the Schedule option in the pipeline builder.
2. Select a Repeat method (hourly, daily, weekly, monthly) and set frequency using Perform every dropdown. The options of the Perform every dropdown change with the Repeat method. Click here to know more.
Info: The range can be between 2-100. The default value is 2.Import configuration
5. Select the Click here link to set the import configuration.
Import all data
This option will import all available data from your Dataiku project.
Do not import data
The data is imported only once. The second time, the rules get applied to the same data and get exported.
Note: If you have already configured a schedule from Dataiku, data will be reloaded based on your earlier configuration under the Import configuration section when you click on the Edit schedule option and set a new schedule.
Schedule settings
Stop export if data has invalid values: Enabling this will stop the export when prepared data still has invalid values.
Order exports
If not enabled, export will run in the default order.
Note: This option will be visible only if you have added more than one destination in your pipeline.
To rearrange the order of your export destinations
1) Click the Order exports toggle
8. After you configure the schedule configuration, click Save to execute the schedule. This will start the pipeline.
Each scheduled run is saved as a job. When a pipeline is scheduled, the data will be fetched from your data sources, prepared using the series of transforms you have applied in each of the stages, and then data will be exported to your destination at regular intervals. This complete process is captured in the job history.
9. To go to the jobs list of a particular pipeline, go to the
10. Click the required job ID in the Jobs history page to navigate to the Job summary of a particular job.
The Job summary shows the history of a job executed in a pipeline flow. Click here to know more.
Info: You can also view the status of your schedules later on the Jobs page.
Note: If you make any further changes to the pipeline, the changes are saved as a draft version. Choose the Draft option and mark your pipeline as ready for the changes to reflect in the schedule.
After you set your schedule, you can choose to Pause schedule or Resume schedule, Edit schedule and Remove schedule using the Schedule Active option in the pipeline builder.
When you edit and save a schedule, the next job will be from the last schedule run time to the next scheduled data interval.
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