Discover what unified data management is, how it works, and how teams can leverage it to meet their data management needs.| Git for Data - lakeFS
Learn what data compliance is, its benefits, essential tools, and key metrics to protect sensitive information and meet regulations.| Git for Data - lakeFS
Learn about our vision for how to close the AI data infrastructure gap using our funding round to promote enterprise data version control best practices. Read on to learn more.| Git for Data - lakeFS
Discover data virtualization, its benefits, real-world use cases, architecture and top tools for integrating, managing, and accessing data in real time.| lakeFS
Open source powers innovation but at scale, flexibility comes at a cost. Learn when it's time to move from OSS to Enterprise data version control.| lakeFS
Discover the key characteristics of AI-ready data, the unique challenges it poses, and which industry best practices are essential.| lakeFS
An AI Factory with data versioning doesn't just run smoother. It fundamentally changes how teams interact with their data. Read more.| Git for Data - lakeFS
Find out how lakeFS complements MLOps tools serving as the data infrastructure layer. Compare MLflow, Neptune, Quilt and DataChain.| Git for Data - lakeFS
Introducing lakeFS Iceberg REST Catalog, enabling seamless version control for both structured and unstructured data at any scale. Read more.| lakeFS
Introducing lakeFS 1.59.0. Whether you're a seasoned lakeFS user or just getting started, the new UI provides a better experience for your data versioning.| Git for Data - lakeFS
Discover what data discovery is, how it works, its benefits, challenges, and best practices to turn raw data into strategic, actionable insights.| Careers at lakeFS: Help Close the Data Infrastructure Gap
Explore 5 defining trends in the annual State of Data and AI Engineering 2025 report. Uncover what changed and what's trending this year.| Git for Data - lakeFS
Discover what an AI factory is, how it works, and how companies use it to turn raw data into scalable, automated, and intelligent business solutions.| Git for Data - lakeFS
Learn how to build a solid AI infrastructure for efficiently developing and deploying AI and machine learning (ML) applications. Read more.| Git for Data - lakeFS
AI data storage solutions are a key component of the modern AI landscape. Discover benefits, common challenges, and best practices. Read more| Git for Data - lakeFS
Sometimes, you need to step away to see things clearly. Barak shares his story on the path he took to, from, and then back to lakeFS.| Git for Data - lakeFS
Learn what metadata is, its types, benefits, and best practices. Discover how metadata improves data governance, compliance, and AI-driven insights.| Git for Data - lakeFS
ML reproducibility pillars require a disciplined approach to managing input data, code, and execution environments. Read more.| Git for Data - lakeFS
Discover the benefits of CI/CD pipelines, how to implement them and find out how to ensure high quality data pipelines.| Git for Data - lakeFS
Discover the benefits of unit testing for notebooks. Get a step-by-step guide to creating and running a unit test including best practices, tools and examples.| Git for Data - lakeFS
Learn how to get started with data lake implementation. Explore the essentials to enhance your data management strategies.| Careers at lakeFS: Help Close the Data Infrastructure Gap
Learn more about data preprocessing in machine learning and follow key steps and best practices for improving data quality.| Git for Data - lakeFS