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lakeFS Cloud provides a Git-like repository for data lakes in a hosted version available in AWS Marketplace NEW YORK and TEL AVIV, June 22, 2022–lakeFS,
- The lakeFS Team
A year has passed since we shared the State of Data Engineering 2021. And since we released that article last May, not much has changed
- Einat Orr, PhD
As organizations develop new product offerings and data streams, data engineers deal with the largest and most complex datasets ever. Add growing teams and new
- The lakeFS Team
Gain the confidence to mess with your datawithout making a mess of your data. “If it hurts, do it more often.” is a wise piece
- Paul Singman
The last decade saw an unprecedented rise in the number of organizations that base their decisions and operations on data. The number of digital products
- The lakeFS Team
Modern data engineering practices lead more and more organizations to a broader use of object stores. This happens due to the rising scale and complexity
- The lakeFS Team
Introduction It may seem strange at first, but increasingly we cannot be sure when putting or getting data from an object store that the data
- Eden Ohana
What if you could manage your data lake just like you manage code? With rollback, versioning, and branching capabilities on top of your existing data
- Oz Katz, Michal Wosk
As data practitioners, we use many different terms to talk about what we do – we call it business intelligence, analytics, data pipelines, or insights.
- Einat Orr, PhD
What is the Basic Data Lake? A data lake is primarily two things: an object store and the objects being stored. It might look something
- Paul Singman
In October, it was announced that the Pandas API was being integrated with Spark. This was particularly exciting news for a Pandas-baby like myself, whose
- Paul Singman
