Data Version Control in Real Life

We write about machine learning workflow. From data versioning and processing to model productionization. We share our news, findings, interesting reads, community takeaways.
DVC 2.0 Release
Today is DVC 2.0 release day! Watch a video from DVC-team when we explain the new features and read more details in this blog post.
  • Dmitry Petrov
  • Mar 03, 202119 min read
February '21 Community Gems
A roundup of technical Q&A's from the DVC community. This month: best practices for config files, pipeline dependency management,and caching data for CI/CD. Plus a new CML feature to launch cloud compute with Terraform!
  • Elle O'Brien
  • Feb 26, 20218 min read
CML Pre-Release Notes: Automatically Train Models in the Cloud with CML 0.3.0
New features are here to make launching cloud compute for continuous integration workflows shorter, sweeter and easier than ever. Plus, a new GitHub Action to setup CML means more ways to use CML without our Docker container.
  • Elle O'Brien
  • Feb 22, 20214 min read
DVC 2.0 Pre-Release
Today, we're announcing DVC 2.0 pre-release. We'll share lessons from our journey and how these will be reflected in the coming release.
  • Dmitry Petrov
  • Feb 17, 202115 min read
February '21 Heartbeat
Monthly updates are here! Read all about our growing team, our CEO's interview on The New Stack, integration with spaCy and more!
  • Jeny De Figueiredo
  • Feb 16, 20216 min read
January '21 Community Gems
A roundup of technical Q&A's from the DVC community. This month: parallelize your data transfer, compressed datasets, and DVC pipelines in CI/CD.
  • Elle O'Brien
  • Jan 26, 20217 min read
January '21 Heartbeat
Monthly updates are here! read all about our new R language tutorial, putting DVC to work on an image segmentation pipeline, and a new fast way to setup your DVC remote.
  • Elle O'Brien
  • Jan 20, 20215 min read
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