Can Chaos engineering work for big data environments? find out in this blog by Oz Katz /2020/11/17/chaos-data-engineering/

How to deliver quality data at scale? In this post @dataversity I explore the technologies and practices. bit.ly/2UQO7zg

I was highly impressed with the Data Mesh paradigm presented by Zhamak Dehghani and I'm happy to share how lakeFS can support you in establishing a data mesh in your own organisation. lakefs.io/data-mesh-appl…

Thank you DevOpsDays Tel Aviv 👉 11-DEC-2025 for having me. I'm excited to take part in community summit TLV and talk about DataOps.

Why Data Versioning as an Infrastructure Matters? This is what I think: lakefs.io/data-versionin…

Using MinIO and wish to turn it to an Git repository of your data? Use lakeFS . This is how: lakefs.io/git-like-opera…

We’re excited to announce the release of the lakeFS Airflow provider package on PyPI! Learn how to build atomic, isolated, and reproducible data pipelines by seamlessly integrating lakeFS with Airflow DAGs (Astronomer 🧑‍🚀) lakefs.io/the-airflow-an…

Measuring data engineering teams in a constructive way is not an easy task. I shared my thoughts about how I did it on lakeFS blog bit.ly/3cESvuK. Looking forward to feedback.