Top 10 Companies That Crowned Hyderabad as India’s Greenfield GCC Leader in 2025
Telangana has attracted over 75 greenfield GCCs in 2025, compared with 40-plus in Karnataka.
- Published on June 26, 2020
- In Deep Tech
Data Version Control 1.0 Released – Storage Agnostic, Git Compatible, And Much More
- By Ambika Choudhury
Recently, Data Version Control 1.0 was released that claims to bring agility, reproducibility as well as collaboration into the existing data science workflow. Data Version Control or DVC is an open-source tool which works as version control for data science and machine learning projects.
After 3 long years of planning to finalise the requirements for DVC 1.0 and stabilise the commands (API) and DVC file formats, Dmitry Petrov, Co-Founder and CEO at Iterative.ai released this version control, also known as Git for data projects. In technical terms, this version control codifies data and machine learning pipelines as text metafiles with the pointers to actual data in S3/GCP/Azure/SSH while using the Git for the actual versioning.
According to a blog post,
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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.
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