Sort by:

Unified DataOps for Teams and Enterprise with

Enabling data engineers to create data pipelines easily while delivering data streams that meet low-latency, production requirements is a difficult balancing act. David Yaffe and Johnny

DataOps and the Data Platform

They say that data, if tortured enough, will confess to anything. Maybe this is the explanation behind how and why data became a buzzword by the end of the 90s when hard drive production

DataOps with Christopher Bergh

Every company with a large set of customers has a large set of data–whether that company is 5 years old or 50 years old. That data is valuable whether you are an insurance company,