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Essential Use Case: when running data processing/analysis workflows, use IPFS as the storage layer. This allows your workflows to be agnostic about where the data are stored -- pulling all the source data onto a local node before running a workflow is an optimisation choice that can be done on the fly with zero impact on the code. Likewise, the results of the workflows can be written to IPFS and moved around as needed without impacting the referential integrity of your data.
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