Reproducibility and Data Version Control for LangChain and LLM/OpenAI Models
Explore reproducibility and data version control for LangChain and LLM/OpenAI models using lakeFS. Learn to manage large datasets efficiently and achieve reproducibility in LLM applications.
Multi-Table Transactions with LakeFS and Delta Lake - Tech Talk
Explore multi-table transactions using LakeFS and Delta Lake for collaborative data lake management, enabling CI/CD deployment and simplified multi-table pipelines in cloud storage systems.
Git for Data Lakes: How LakeFS Scales Data Versioning to Billions of Objects
Learn how lakeFS enables Git-like versioning for data lakes, solving challenges of object storage and scaling to billions of objects without compromising performance. Explore branching, committing, and merging for petabyte-scale data management.
Version Control for Lakehouse Architecture - Essential Practices and Benefits
Discover how to implement data version control using lakeFS for improved data quality, reproducibility, and experimentation in Databricks data/ML pipelines, enhancing overall product value.
CI/CD for Data - Building Dev/Test Data Environments with Open Source Stacks
Learn industry best practices for data lifecycle management and implement them using open source tools like Jenkins and lakeFS to ensure accuracy, resiliency, and observability in data products.
Building Reproducible ML Processes with an Open Source Stack
Explore open-source tools for reproducible machine learning, covering code, data, and environment management. Includes hands-on demonstration of experiment replication using KubeFlow, Git, Minio, and lakeFS.
Developing Data Pipelines with Branch Deployments - A New Approach
Explore a new approach to data pipeline development using branch deployments, enabling safer testing on production data and improving productivity, data reliability, and cost-efficiency.
Power Up Your Lakehouse with Git Semantics and Delta Lake
Enhance data versioning in lakehouses using Delta Lake and lakeFS, enabling git-like semantics for improved time travel, data quality, and operational economics.
Git for Data: Managing Data like Code with lakeFS
Explore lakeFS, an open-source tool transforming object storage into Git-like repositories for data version control. Learn its benefits for data management, reproducibility, and reprocessing in various industries.
Building Reproducible ML Processes with an Open Source Stack
Discover how to build truly reproducible machine learning experiments by integrating MLFlow, Git, lakeFS, and infrastructure-as-code for consistent data, code, and environment management.
Building an ML Experimentation Platform for Easy Reproducibility
Learn to build an ML experimentation platform using lakeFS for version control and reproducibility. Explore creating frameworks, reproducing iterations, and building intuitive infrastructure with open-source tools.
Reproducible AI with Kubeflow, lakeFS and Langchain
Discover how to build reproducible AI pipelines using Kubeflow, Langchain, and lakeFS to create RAG chatbots with improved data quality and version control for enhanced user experiences.