I'm sure you're familiar with data science, but what about data engineering? Are these the

same thing, or how are they related? Data engineering is dedicated to overcoming data processing

bottlenecks, data cleanup, data flow, and data handling problems for applications that utilize

a lot of data. On this episode, we welcome back to Bias Macy, give us a 30,000 foot view of the

data engineering landscape in 2021.

This is Talk Pythonomy, episode 302 recorded January 29th, 2021.

Welcome to Talk Python, Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy, and keep up with the show and listen to past episodes at talk python.fm and follow the show on Twitter via at Talk Python.

This episode is brought to you by Datadog and Retool.

Please check out what they're offering during their segments.

It really helps support the show.

Tobias, ready to kick it off?

Yeah, sounds good.

Thanks for having me on, Mike.

Yeah.

Great to have you here.

Good to have you here. Good to have

you back. I was recently looking at my podcast page here. And it says you were on the show 68,

which a lot of fun. That was when Chris Patty was with you as well around podcast and knit. But boy,

that was 2016. Yeah, it's been a while. We've been at this a while. I mean, ironically, we started within a week of each other.

But, yeah, we're still going, both of us.

Yeah, it's definitely been fun journey and a lot of great sort of unexpected benefits

...