The 3 Categories of Data Versioning

(4:25)

How to manage model and data versions

(4:53)

Data Versioning at Scale: Chaos and Chaos Management

(48:1econd)

Versioning Data for Machine Learning

(7:5)

Versioning (5) - Data Management - Full Stack Deep Learning

(8:25)

Data Versioning in Generative AI: A Pathway to Cost-effective ML

(35:24)

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

(32:26)

Yonatan Alexander - Best practices and solution design using data versioning for machine learning

(1:24:55)

Hive to Iceberg – To Migrate, or Not to Migrate - Workshop

(1:26)

Effective Data Versioning for Collaborative Data Science

(1:23:4)

Data versioning in machine learning projects - Dmitry Petrov

(34:45)

Data Versioning: Towards Reproducibility in Machine Learning - Nicolás Eiris - TryoLabs

(25:57)

Zach Musgrave- Git for Data- Data Versioning for Reproducible Data Science with Dolt | PDNYC 2022

(43:27)

How to implement data versioning with Databricks

(2:21)

Versioning Data with DVC (Hands-On Tutorial!)

(13:4)

Data Versioning in Generative AI: A Pathway to Cost Effective ML

(27:53)

Data Versioning and CI/CD in data engineering

(4:18)

Understanding Data Versioning Tools Treeverse

(1:7:27)

Unlock the Power of Core Data Versioning!

(13:41)

Data versioning

(1:7:13)