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  1. Enabled S3 Integration: The

    D s platform
    has been configured to integrate with your S3 instance.For more information, see Enable S3 Access.

  2. Creating Datasets from S3 Files: You can read in source data stored in S3. An imported dataset may be a single S3 file or a folder of identically structured files. See Reading from Sources in S3 148814022 below.
  3. Reading Datasets: When creating a dataset, you can pull your data from a source in S3. See Creating Datasets 148814022 below.
  4. Writing Results: After a job has been executed, you can write the results back to S3. See Writing Results below.

In the

D s webapp
, S3 is accessed through the S3 browser. See S3 Browser.


  • Access: If you are using system-wide permissions, your administrator must configure access parameters for S3 locations. If you are using per-user permissions, this requirement does not apply. See Enable S3 Access.



    Avoid using /trifacta/uploads for reading and writing data. This directory is used by the

    D s webapp

  • Your administrator should provide a writeable home output directory for you. This directory location is available through your user profile. See Storage Config Page.


You can parameterize your input paths to import source files as part of the same imported dataset. For more information, see Overview of Parameterization.


NOTE: Import of glaciered objects is not supported.

Folder selection:

When you select a folder in S3 to create your dataset, you select all files in the folder to be included.