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Comment: Published by Scroll Versions from space DEV and version r079


  • Matching file formats
  • Matching column order, naming, and data type
  • Matching column headers. Each column in any row that is part of a column header in a dataset with parameters should have a valid value that is consistent with corresponding values across all files in the dataset.


    NOTE: If your files have missing or empty values in rows that are used as headers in your recipe, these rows may be treated as data rows during the import process, which may result in unexpected or missing column values.

  • Within each column, the data format should be consistent. 
    • For example, if the date formats change between files in the source system, you and your recipe may not be able to manage the differences, and it is possible that data in the output may be missing.