When to use data workflow
Design when building or revising an end‑to‑end data pipeline.
A practical example of data workflow
For example, a workflow starts with pulling raw logs, runs a Spark job to parse them, then writes cleaned records to a data lake.
How it applies to Ideoreto
Use this reference when preparing a project introduction or explaining your work on Ideoreto. Registration does not guarantee work, collaborators or funding.
Key takeaways
- Validate that each step has a defined input and output.
- Ensure owners are assigned for every processing stage.