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Overview of Parameterization
Overview of Parameterization
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Written by Steve Olson
Updated over 2 years ago

Summary:

In Trifacta® Wrangler Enterprise, parameterization enables you to apply dynamic values to the data that you import and that you generate as part of job execution.

Parameter types:

  • Environment Parameters: A workspace administrator or project owner can specify parameters that are available across the environment, including default values for them.

  • Dataset Parameters: You can parameterize the paths to inputs for your imported datasets, creating datasets with parameters. For file-based imported datasets, you can parameterize the bucket where the source is stored.

  • Flow Parameters: You can create parameters at the flow level, which can be referenced in any recipe in the flow.

  • Output Parameters: When you run a job, you can create parameters for the output paths for file- or table-based outputs.

These parameters can be defined by timestamp, patterns, wildcards, or variable values that you specify at runtime.

Keywords: concept;overview;parameters;parameterization;run_job;imported_dataset;operationalization;feature;ui;gui;

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