Cacheable big data pipelines
Project description
Nuthatch
Nuthatch is a tool for building pure-python big data pipelines. At its core it enables the transparent multi-level caching and recall of results in formats that are efficient for each data type. It supports a variety of common storage backends, data processing frameworks, and their associated data types for caching.
It also provides a framework for re-using and sharing data-type specific post-processing, and for these data type processors to pass hints to storage backends for more efficient storager and recall.
Nuthatch was created to alleviate the comon pattern of data processing pipelines manually specifying their output storage locations, and the requirements of pipeline builders to use external data orchestration tools to specify the execution of their pipeliness. With Nuthatch simply tag your functions and anyone who has access to your storage backend - you, your team, or the public - can acess and build off of your most up-to-date data.
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