[bluedemon]

A question for you and anyone else in security:

Given that many data engineers have a data science, data analytics, BI, or software engineering background, I'm curious if you've noticed any trends in their approach to data security?

[Kalium]

Yes. Generally it can be summarized as "What data security?".

Snark aside, there's usually a reflexive assumption that more data is always better and that anything that gets in the way of more data is bad. Anything that limits how data is analyzed is bad. Anything that limits or restricts their choice of tooling or where they use it is rejected.

Data scientists and engineers are people who are, often, working with a company's crown jewels. They are trusted with data representing the private lives of hundreds of millions of people assembled in a data warehouse. I want them to have a care. To treat this with due gravitas. All too often, all they seem to see is a neat data set to feed into R on their Macbook.