Start with inspection
Review columns, data types, file size, and sample rows so you understand the dataset before transforming it.
Local-first workflow
How to handle a big dataset locally
When upload limits, compliance rules, or sensitive columns make hosted tools a bad fit, DataOlllo lets you process big datasets on your own machine.
Reduce the dataset
Select only the columns and rows you need, then split or export smaller outputs for specific reports or teams.
Build repeatable workflows
Use visual operations for recurring cleanup, merge, filter, and summary tasks without rebuilding the process each time.
Common questions
Why handle big datasets locally?
Local processing helps when files are too large to upload, contain sensitive information, or need to remain inside a controlled environment.
Can non-technical users handle big data locally?
Yes. DataOlllo is built for no-code workflows, so analysts can process large datasets without writing scripts.