article thumbnail

Demystifying MLOps: From Notebook to ML Application

Xebia

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

article thumbnail

Tenable One Exposure Management Platform: Unlocking the Power of Data

Tenable

When our data engineering team was enlisted to work on Tenable One, we knew we needed a strong partner. When Tenable’s product engineering team came to us in data engineering asking how we could build a data platform to power the product, we knew we had an incredible opportunity to modernize our data stack.

Data 98
article thumbnail

Why a data scientist is not a data engineer

O'Reilly Media - Ideas

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Data engineering is not in the limelight.