Software designed for managing workflows involving analysis of large data sets
For the open source versioning software, see Data Version Control (software).
Data version control is a method of working with data sets. It is similar to the version control systems used in traditional software development, but is optimized to allow better processing of data and collaboration in the context of data analytics, research, and any other form of data analysis. Data version control may also include specific features and configurations designed to facilitate work with large data sets and data lakes.[1]
^"A guide to open source data version control - Fuzzy Labs". www.fuzzylabs.ai. Retrieved 2023-01-05.
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