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Conceptual Terms

Terminology applicable to Dataprep by Trifacta.


This list is not comprehensive.

access token

Individual users can be provisioned an access token to enable interaction with the REST API endpoints. Access tokens must be submitted with each request to the Dataprep by Trifacta platform. For more information, see Manage API Access Tokens.


Orchestration refers the the sequencing, execution, and monitoring of a series of tasks in the platform. In the Dataprep by Trifacta platform, orchestration is defined using plans. See Overview of Operationalization.

sample checkpointing

As you build more complex recipes and flows, it's a good idea to create samples periodically in your recipe steps. All steps between the currently displayed sample and the currently displayed recipe step are executed in the browser, so this type of checkpointing with samples can improve performance. For more information on best practices in sampling, see Overview of Sampling.

schema drift

Feature that detects changes to the schema of your imported datasets before or during job execution. See Overview of Schema Management.

schema refresh

Feature that refreshes the schema of your imported datasets within the Dataprep by Trifacta based on changes to the schemas of their datasources. See Overview of Schema Management.

type system

The system within the Dataprep by Trifacta platform for managing data types.

  • The Dataprep by Trifacta platform can read data types from a variety of source systems. These types are then mapped to internal Alteryx data types.

  • During recipe development, data types may be re-inferred by the Dataprep by Trifacta platform, as the data within your columns changes.

  • During job execution and publishing to a target system, Alteryx data types may be mapped to a different set of data types, depending on the target.