Export options
DataPrep offers a wide range of export options. Your data can be exported to BI tools, cloud storage services, cloud databases. They can also be downloaded as files in different formats.
To export your data
1. Open an existing pipeline or create a pipeline from the Home Page, Pipelines tab or Workspaces tab. You can bring your data from 50+sources.
2. On the Pipeline Builder page, once you have completed creating your data flow and applying the necessary transforms in your stages, you can right-click a stage and select the Add Destination option.
2. On the Pipeline Builder page, once you have completed creating your data flow and applying the necessary transforms in your stages, you can right-click a stage and select the Add Destination option.
3. You can select one of the following categories or search for the required destination.
4. If your data contains columns with personal data or ePHI data, you can choose to include or exclude them in the Columns section.
Security measures to protect your PII data or ePHI data
You can also apply the necessary security methods to protect your personal data or ePHI data column:
A. Data masking
Data masking hides original data with 'x' to protect personal information.
B. Data Tokenization
Data tokenization replaces each distinct value in your data with a random value. Hence, the output is statistically identical to the original data.
C. None
You can select none if you do not want to use any security method. You can choose whether to export these columns using the corresponding check boxes.
Note:
- Exporting datasets without securing personal data will be restricted if the Secure data exports option is enabled in your organization's privacy settings. Click here to know more.
- Based on the Compliance settings of your organization, exporting datasets with ePHI data may be restricted or restricted without securing ePHI data with security measures or password protection.
5. Click Next to proceed with the destination configuration.
5. Now that you have added a destination, you may want to try executing your pipeline using a manual run at first. Once you make sure the manual run works, you can then set up a schedule to automate the pipeline. Learn about the different types of runs here.
Info: Each run is saved as a job. When a pipeline run is executed, the data fetched from your data sources will be prepared using the series of transforms you have applied in each of the stages, and then the data will be exported to your destination. This complete process is captured in the Jobs page.
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