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Guidegetting-started

Reuse and organize pipelines

Find a recipe, adjust its settings and apply it to new data.

Published 27 July 2026Updated 27 July 20261 minBeginner

Once saved, a pipeline can be run on new data without rebuilding every step.

Find a recipe

Use the pipeline list and favorites to surface your most frequent workflows.

Adapt without overwriting

You can edit step settings. For a lasting variation, create a copy and preserve the original recipe.

Pipeline versus template

  • a pipeline is a specific working recipe;
  • a template is a starting point for several related pipelines.

Naming practices

Mention both data type and goal: “Supplier CSV — deduplicate” is more useful than “Cleanup 2”.

Tip: favorite weekly pipelines and archive temporary variants through a backup export.

Guidegetting-startedBeginner

Create your first pipeline

Build, test and save your first reusable transformation recipe in the Workspace.

27 July 2026 · 1 minRead