If you think about it, lakeFS is about two things — version control and big data. We see ourselves as bringing version control to big data. This bridges a workflow gap that currently exists when working with data and working with code.
This gap is purely artificial — there’s no conceptual reason why different workflows should be required for each. In fact, since they are almost always related in the form of executed code running over bytes of data, in many cases it makes sense to treat them as one entity from a source control perspective.
This is what we are making possible with the lakeFS project — version control at scale. We believe this is a crucial piece of what’s missing from the developer experience of the most performant data platforms.
Processing data at scale isn’t enough anymore, we want to do so with grace.
If I’ve managed to piqued your interest, check out the demo video below, which goes into more detail and shows lakeFS in action!
About lakeFS
The lakeFS project is an open source technology that provides a git-like version control interface for data lakes, with seamless integration to popular data tools and frameworks.
Our mission is to maximize the manageability of open source data analytics solutions that scale.
To learn more...
Read Related Articles.
ETL Testing: A Practical Guide
What is ETL Testing? In a rush? Read the condensed version of this article here ETL testing is the process of evaluating and verifying that
Data Engineering Conferences 2023
Conferences are back in full steam! 2023 is looking to be another great year for data conferences. This is a great time to learn, network,
Security in lakeFS: Understanding Role-Based Access Control (RBAC)
A discussion of how Role-Based Access Control works in lakeFS with code examples for three different types of user.
