2. [Repositories] Introduction to Data Transformations8. Repeat The Process For Your Other Raw Datasets
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8 - Repeat the process for your other raw datasets

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📖 Task Introduction

You’ll now repeat this process two more times, once for each mapping file (status and priority).

🔨 Task Instructions

In this task, you’ll be repeating the steps from the preceding 3 tasks. The steps below provide a brief summary of those steps, but refer to the tasks themselves if you need additional details.

  1. Create two new transform files in your repository’s /raw file folder:

    • priority_mapping_raw.py
    • status_mapping_raw.py
  2. For your transform inputs, use the respective raw file for each in .../Foundry Training and Resources/Example Projects/[Datasource] Flight Alerts/datasets/raw/.

  3. Make any project references if prompted (see Exercise "Your First ("Identity") Transform").

  4. Use the Preview option to ensure your outputs appear as expected.

  5. Commit your code with a meaningful message, like “feature: add additional raw datasets.”

  6. Once CI checks have passed, select Build for each newly added transform file to kick off individual builds for each dataset.

  7. Select the Replace paths with RIDs link in each transform file.

  8. Ctrl+click the outputs to ensure the datasets appear as expected on their branch in the dataset application.