Prepare data with a pipeline

Don’t want to do this all manually?Cord Computer can do this for you. A pipeline connects sources to a series of steps, called nodes. You can preview the data after each step and create separate outputs from different branches.

Open Pipelines with your project selected.
Select New pipeline, enter a name, and select Create pipeline.
Choose a data feed or project file as your source.
Use the + on a node to add a step, such as Clean, Filter, or Group By. Select the node to configure it.
To combine sources, use Add source, then add a Join step and choose the inputs and matching columns.
Select a step and choose Run to here to check its rows in the preview.
Add a Pipeline Output node at the end of a branch. Select it and choose Create artifact to save an output version.

Your output is ready to preview, export, or write to your ontology.

A 12-node demand planning pipeline with three sources, two outputs, and a buyer summary preview

Node types

Node	Use it to
Source	Load data from a feed or project file.
Filter	Keep or remove rows that match your conditions.
Clean	Fix values and column types, fill blanks, or remove duplicates.
Calculated Column	Add columns using formulas or existing values.
Join	Combine two tables using matching columns.
Pivot	Turn categories into columns, columns into rows, or transpose a table.
Group By	Summarize rows with totals, averages, counts, or other grouped values.
Split	Turn multiple values in one cell into separate rows.
Case	Set a column’s value using the first matching rule.
Window	Compare rows using previous or next values, percent changes, or rolling averages.
Python	Run custom Python code on incoming rows or source files.
AI Assist	Use a prompt to classify or enrich rows in a new column.
Visualization	Preview data as a chart or table without changing it.
Pipeline Output	Save an output version for preview, export, or downstream use.

Select the info icon (Node guide) in the pipeline toolbar for options and examples.

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Prepare data with a pipeline

Node types

​Node types

Node types