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Selecting the data source

You can use a sample dataset, upload a dataset with .csv files, or load data using an extractor. The data is loaded after you have created the new process app.

important

For performance and security reasons, it is strongly recommended to use a small dataset for app development and testing data transformations. The development dataset is used for testing the data transformations. It does not affect the data displayed in the dashboards of the published process app. Once your app is ready to be used by business users, you can publish the app and load new data for use in the published process app.

  1. Select the applicable option for your data source.
  2. Select Next.

Use Theobald extractor

note

Use Theobald extractor is the recommended option for process apps that use an SAP source system.

If you selected an app template that uses an SAP source system, the Use Theobald extractor option is the default option for loading data.

You can copy the details for use in the extractor in the Upload data using Theobald step later in the app creation process. Refer to Finishing the app creation.

Refer to Loading data using Theobald Xtract Universal for more information.

Use CData extractor

note

The Use CData extractor option is the default option for app templates that use a source system that is supported by CData.

You can copy the details for use in the extractor in the Upload data using CData step later in the app creation process. See Finishing the app creation.

Refer to Loading data using CData Sync for more information.

Use sample data

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The Use sample data option is only enabled if sample data is available for the process app.

Upload data

It is also possible to upload data using .csv files.

warning

For large amounts of data, it is recommended to use CData Sync or Theobald Xtract Universal (for SAP) to upload data.

note

When you create a new process app, always make sure that the data is in the required format for the app template that you use to create a new app. Also check out App Templates.

note

Table names and field names are case-sensitive. Always make sure that the field names (column headers) in your dataset match the field names listed in the input tables and that the file names match the table names.

Upload your data files and map your input data to the expected data model.

Check out Mapping input tables and Mapping input fields for more information.

Upload data using extractor

note

You can copy the details for use in the extractor in the Upload data using extractor step later in the app creation process. Refer to Finishing the app creation.