Application Terms

The main panel of Flow View where you can add, arrange, and remove flow objects. Plan View also contains a canvas area.

Standardize values in a column by clustering similar values together.

Creates a new column of data by providing example values from an existing column.

Review sampled data across multiple columns through the column browser. You can also use the Column Browser panel to toggle the display of individual columns.

Examine details and profile of the data of a selected column.

Perform transformation operations on the selected column from a list of menu options, including changing the column data type.

At the top of the column, review the counts of values in the column. Select one or more values in the column through the histogram.

Create or edit connections to external storage.

In the Transformer page, the data grid displays a sample of the dataset at the currently selected step in the recipe. Make selections in the dataset to prompt suggestions for transformations to add to your recipe.

Review color-coded counts of valid, missing, and mismatched values in your column based on the column's data type. Select a color bar to be prompted with suggestions for transformations on the relevant rows.

In the Data Quality Rules panel, you can build pass/fail rules to test the quality of your data. These rules can be used to assess general data quality or to test the applicability of the values to your use case.

Change the data type for the column from the icon to the left of the column header.

Examine details about your dataset, including source of data and other information.

By default, the Trifacta Application sends notifications to users on the success or failure of their jobs and plans. The delivery of these notifications can be disabled as needed.

The Flag for review feature enables flow users to flag recipe steps for others to review, provide inputs, and sign off on the changes before jobs are permitted to execute.

Create, manage, and export your flows.

Build your flow objects, including recipes, outputs, and references.

Landing page after login.

Import data from a valid connection as an imported dataset.

Manage your imported datasets and reference objects.

Review the details of your job, including an optional profile of the resulting data.

Review the list of jobs that you have launched. View status, explore job details, and export results.

Job monitoring enables users of the Trifacta Application to monitor job progress through each phase of its execution.

Plan View page enables you to build, arrange, and execute a sequence of one or more tasks in an orchestrated plan. Plans can be scheduled for execution or run on an ad-hoc basis.

A product edition is a set of features and limits on resources applied to your workspace. Depending your account, the same product edition can be applied across multiple workspaces.

Add, edit, and remove steps from your current recipe. Apply changes and see updates immediately in the data grid sample.

Configure job, visual profiling, and job outputs before launching.

Review, create, and delete samples for the current recipe.

Review status of all samples that you have initiated. Administrators can access the samples of all users.

Feature that enables automated execution of flows according to user-defined schedules.

Search for transformations to build as the next step in your recipe.

Review and modify settings.

Based on selections you make in the data grid, you can review profiling information and a set of suggested transformations to add to your recipe.

TFS is an online service provided by Alteryx for storage of uploaded data, samples, metadata, and job results.

Feature that enables matching of columns and data types of your dataset with a pre-defined target schema.

Select from common transformations in a toolbar across the top of the data grid.

Review and customize transformation steps.

Review sampled data, explore suggestions and previews, and build transformation steps.

Review and modify settings applicable to your user account.

Review and toggle the visibility of the columns in your dataset.