Pipeline tutorials
Getting started with pipelines
Walk-through the full Pipeline workflow.
To get started with pipelines see
About Pipelines .
Download, export and output your data.
For more information see
Import and Export help .
Apply calculations and functions to your source data.
For more information see
Calculate .
Map column names, and add, remove or reorder columns.
For more information see
Map Columns help .
Map source values to a desired value.
For more information see
Map Values help .
Automatically compare disparate source values to a known good set of values in a reference dataset, then map them to the best match.
This video is a short overview of a company name cleansing use case.
For more information see
Automap Values help .
For more information on regular expressions see
this page .
Combine datasets vertically (union) or horizontally (join).
For more information see
Union help and
Join help .
Configure validation rules and actions.
For more information on validation see
Validation help .
For more information on reusing pipelines see
Reusing pipelines .
