Chapter 4. Transform

Abstract

With transformations you can pre- and postprocess your data as part of your DQ project.

Technically speaking there are two kinds of transformations: Transformers and Filters. Transformers are used to extract, generate or refine data (new columns and sometimes also new rows), whereas filters are used to limit or split the dataset into separate processing streams.

There's quite a lot of transformations available in DataCleaner, more than will be feasible to describe all in detail. This chapter provides a documentation for some of the essential ones.

Table of Contents

JavaScript transformer
Invoke child Analysis job
Equals
Max rows
Not null
Union