Git For Data Lakes How Lakefs Scales Data Versioning To Billions Of Objects

By healtycares On Aug 24, 2025

Free Video Git For Data Lakes How Lakefs Scales Data Versioning To Lakefs is a version control system located over the data lake and based on git like semantics. data engineers can use it to create isolated versions of the data, share them with other team members, and effortlessly merge changes into the main branch. Learn how lakefs enables git like versioning for data lakes, solving challenges of object storage and scaling to billions of objects without compromising performance.

Data Versioning Explained Guide Examples Best Practices 7 ok, so how do you scale the git model to billions of objects?! attempt #1 data (objects) 9 metadata (pointers to objects) let’s use git!. Lakefs is an open source tool that transforms your object storage into a git like repository. it enables you to manage your data lake the way you manage your code. with lakefs you can build repeatable, atomic, and versioned data lake operations from complex etl jobs to data science and analytics. Compare data versioning tools like dvc, git lfs, dolt, and lakefs to find out how they enhance data trust, reliability, and reproducibility. Lakefs is an open source, highly scalable data version control system specifically designed for modern data lakes and object storage environments, including aws s3, azure blob storage, google cloud storage, and on premise solutions like minio.

Git For Data What How And Why Now Compare data versioning tools like dvc, git lfs, dolt, and lakefs to find out how they enhance data trust, reliability, and reproducibility. Lakefs is an open source, highly scalable data version control system specifically designed for modern data lakes and object storage environments, including aws s3, azure blob storage, google cloud storage, and on premise solutions like minio. Lakefs is revolutionizing enterprise ai by versioning the data that powers it, similar to how git transformed software development. designed for massive volumes of data in data lakes, lakefs provides organizations with control, safety, and reproducibility at a large scale. By the end of the session you'll understand how lakefs scales its git like data model to petabytes of data, across billions of objects without affecting throughput or. Using it, you can now “clone” data stored in lakefs to any machine, track which versions you were using in git, and create reproducible local workflows that both scale very well and are easy to use.

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Git for Data Lakes—How lakeFS Scales Data Versioning to Billions of Objects

Git for Data Lakes—How lakeFS Scales Data Versioning to Billions of Objects

Git for Data Lakes—How lakeFS Scales Data Versioning to Billions of Objects Git for Data Lakes How lakeFS Scales data versioning to billions of objects Amit Kesarwani Git for Data: Managing Data like Code with lakeFS Intro to lakeFS: Data version control at scale! How Git Works: Explained in 4 Minutes Intro to lakeFS: Data version control at scale! Tutorial: Getting started with lakeFS Data lakes need Git for Data lakeFS – Bring Source Control to Big Data Git for Data with LakeFS + AWS re:Invent 2022 Recap for AI and Machine Learning 'Git for Data' - Who, What, How and Why? // Luke Feeney & Gavin Mendel-Gleason // MLOps Meetup #52 How to implement data versioning with Databricks Data Versioning at Scale: Chaos and Chaos Management Data Versioning with LakeFS and LakeFS-SpecMax Mynter & Jan Willem Kleinrouweler Power Up Your Lakehouse with Git Semantics & Delta Lake #15 - Git-like Catalog Versioning - Basics of Lakehouse Engineering - Apache Iceberg, Nessie, Dremio lakeFS Iceberg Integration: Environment-Wide Data Version Control How to Gracefully Scale a Data Lake, with Paul Singman (LakeFS) - UDEM August 2021 Data Engineering Best Practices for the Challenges in Big Data Management - How We Built lakeFS

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