View Transformation Details

The details page for a transformation gives you everything you need to know about the transformation all in one place.



The title section contains the name of the transformation, the points of contact, the type for the transformation as well as the button required to edit the transformation.



The README section is where you can capture and share any additional common knowldege about your transformation.



Attributes can be thought up as key-value pairs. There are no default attributes for a transformation. We find that this is useful to be able to directly reference the code for each transformation:



Tags are a great way to add quick labels to your transformations. Later on, in the Tags section, we will see how you view all of your tagged items in a single place.



The Details section of the Transformation contains everything else about how your Transformation fits into your overall data ecosystem. Each of the sections below represents a tab that may be available to your Transformation if applicable.

Data Flow

This tab depicts how your data moves between schemas. You will be able to see the flow for this transformation here but not edit it directly. The Edit Transformation button is available to change the data flow and is described more on the next page


Transform Fields

Displays a table of all of the field level movements within this transformation. It contains a record for each unique source field and target field combination, allowing you to see exactly which source fields lead to which target fields at a glance. You can navigate directly to the field if needed.



You can add, edit or reply to comments for your transformations. This is a good way to capture information that may be useful for your other team members such as “what data scientists should be kept in the loop when this transformation changes?”.



The two types of Experts are displayed for transformations:

  1. Power Users: the users that use this Data Store the most often.

  2. Volunteer SMEs: the users who raise their hands and volunteer as experts



Any governance actions that relate to this transformation will be displayed.



Lineage tracks the relationships between fields and displays those relationships as they exist within Data Schemas and Data Stores. Lineage provides you a way to interact and ask questions to your data, such as “what downstream fields are impacted by this transformation?” or “What is the original source of truth for this field when it originally enters my ecosystem?”.

When you view the lineage from a transformation it initially only loads the fields (and their corresponding Schemas & Data Stores) that are part of the current transaformation you are viewing. You can select the upstream and downstream buttons on any of the Data Fields, Data Schemas or Data Stores to bring in additional up or downstream data.


To learn more about how to use lineage, visit the Lineae and Exploration page.