You're setting up a shared data pipeline stack and want a clear way to organize the tools used for moving, cleaning, processing, and validating data. The goal is to keep the workflow maintainable as more datasets and users are added.
How would you organize and maintain tools for data transfer, mining, cleaning, processing, and validation?
You're setting up a shared data pipeline stack and want a clear way to organize the tools used for moving, cleaning, processing, and validating data. The goal is to keep the workflow maintainable as more datasets and users are added.
How would you organize and maintain tools for data transfer, mining, cleaning, processing, and validation?
