Basic Concepts

By Data Version Control

Basic concepts and features of DVC.

Data Management

The core function of DVC is data tracking and management. Let's see how to do it.

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Getting the Best Performance

It is important to optimize the DVC setup for having the best performance with handling big data files.

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Tracking Data Versions

DVC takes advantage of Git's versioning features to keep track of the data versions.

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Sharing Data

DVC facilitates sharing of data between different people that work on the same project.

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Stages And Pipelines

DVC has a built-in way to connect ML steps into a DAG and run the full pipeline end-to-end.

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Importing Data

Download and track data from another DVC project that is hosted in a Git repository.

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