Data Version Control Blog

Insights and updates from the DVC team. Explore best practices in data versioning, machine learning workflows, and model management. Stay informed with our latest news, tutorials, and community highlights.

End-to-end lineage with DVC and Amazon SageMaker AI MLflow apps

AWS Solutions Architects demonstrate how to build an end-to-end MLOps workflow combining DVC for data versioning, Amazon SageMaker AI for scalable training, and SageMaker AI MLflow Apps for experiment tracking and lineage. The post presents two deployable patterns: dataset-level lineage (foundational) and record-level lineage (healthcare compliance with individual record traceability), enabling full reproducibility and audit capabilities for regulated industries.

Jeny De Figueiredo

September 22, 2026

17 minutes read

Leveraging LLMs in Chatbots: The DVC Approach

Read how DVC can optimize the development process for chatbots built on Large Language Models.

Ryan Turner

September 25, 2023

8 minutes read

Fine-Tuning Large Language Models with a Production-Grade Pipeline

This post describes a production ML pipeline for fine-tuning large language models using DVC, SkyPilot, HuggingFace Transformers, and quantization techniques.

Alex Kim

September 8, 2023

13 minutes read

The DVC 3.0 Stack: Beyond the Command Line

DVC 3.0 introduces a stack of tools outside the command line to bring it closer to where you work (in code, IDE, web) while also focusing on DVC fundamentals.