[D] Using DVC for data projects – efficient versioning for inputs, intermediate files and algorithm models with no longer need to think about how to store data for collaboration
In the following aritcle Qonto data team explains how DVC helped them dealing with production data files such as trained machine learning algorithms and provided a reliable way of versioning those files along the project development: Using DVC to create an efficient version control system for data projects
DVC brought versioning for inputs, intermediate files and algorithm models and this drastically increased productivity by providing a clean framework to manage data in an effortless way to split a project into atomic steps.
To make it more concrete, Quonto illustrated this article with a real project on VAT auto-detection from receipts – it consists in automatically retrieving the value-added tax amount from a receipt document in order to simplify accounting work.
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