--- title: Data Versioning in Machine Learning and Data Lakes description: Data version control tracks changes to datasets over time, which is critical in machine learning where data is as important as code. The landscape breaks into... canonical: https://daily.dev/posts/data-versioning-in-machine-learning-and-data-lakes-znyfovuze twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Data Versioning in Machine Learning and Data Lakes | daily.dev og:description: Data version control tracks changes to datasets over time, which is critical in machine learning where data is as important as code. The landscape breaks into... og:url: https://daily.dev/posts/data-versioning-in-machine-learning-and-data-lakes-znyfovuze og:image: https://api.daily.dev/og/posts/ZNyfOVUze.png og:image:alt: Data Versioning in Machine Learning and Data Lakes og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Data Versioning in Machine Learning and Data Lakes **[Medium](https://daily.dev/sources/medium_js)** · 8 min read · 0 upvotes · 0 comments ## Summary Data version control tracks changes to datasets over time, which is critical in machine learning where data is as important as code. The landscape breaks into three levels: database/dataset versioning (Dolt brings Git-like commits, branches, and diffs to a SQL database), table-level versioning (Apache Iceberg, Delta Lake, and Apache Hudi each add ACID transactions, time travel, and schema evolution to data lake tables, with Hudi specializing in incremental/CDC workloads), and repository-level versioning (lakeFS applies Git-style branching to entire object-storage data lakes, while DVC links large ML assets like datasets and models to Git commits via small metadata pointer files). Each tool targets a different scope, but all share the same goal: making data changes visible, reproducible, and reversible so ML models can be traced back to the exact dataset version used to train them. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [DVC for MLOps: Versioning Your Data and Models the Right Way](https://daily.dev/posts/dvc-for-mlops-versioning-your-data-and-models-the-right-way-mhtvxguv9) · PyImageSearch · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#big-data](https://daily.dev/tags/big-data), [#apache-iceberg](https://daily.dev/tags/apache-iceberg) [View this post on daily.dev](https://daily.dev/posts/data-versioning-in-machine-learning-and-data-lakes-znyfovuze) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Data Versioning in Machine Learning and Data Lakes","url":"https://daily.dev/posts/data-versioning-in-machine-learning-and-data-lakes-znyfovuze","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/data-versioning-in-machine-learning-and-data-lakes-znyfovuze"},"datePublished":"2026-07-23T19:35:47.033Z","dateModified":"2026-07-23T19:36:11.406Z","description":"Data version control tracks changes to datasets over time, which is critical in machine learning where data is as important as code. 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