Summary

Data Engineering Central is a substack newsletter by Daniel Beach: Covers data engineering topics with a focus on the practical aspects of the field.

Daniel Beach also has a YouTube channel called TheAverageEngineer

OnAir Post: Data Engineering Central

News

We all love our little language wars: the vitriol, the expletives, the dank memes that accompany them.

You may recall, as your friendly neighborhood Anonymous Rust Dev, that I’ve been magnanimous and kind to the Python language. This is because I’m above it all – I can find the beauty in any language if I look hard enough, and I’m willing to give credit where it’s due.

But even I have my breaking point, which I’d like to explore today. How clunky does a language need to be to make itself my foe?

About

Overview

No holds barred Data Engineering. Subscribe to get full access to the newsletter and website. Never miss an update. I post both technical and non-technical content that is edgy and true.

Regular, sarcastic, and to-the-point Data Engineering content. We fly in the face of the vendor. Long Live Data Engineering!

The aim is for 1+ posts a week for paid subscribers, and a sprinkle of free ones to keep things spicy. Whitty, heady, and straight to the point of real-life Data Engineering problems.

Who do people say that I am?

I’m Daniel Beach, I’m an avid outdoorsman, reader, father, and Data Engineer. I started as a Data Analyst many a year ago, worked as a BI Engineer, then lately a Data Engineer.

I don’t write to make people happy, I try to tell the truth and not pretend to be the smartest person in the room. Just an average guy doing average things, while sharing what I learn.

I’ve also written for a few years over www.confessionsofadataguy.com , check it out for more technical content.

Source: https://dataengineeringcentral.substack.com/about

Web Links

Videos

Will AI destroy Software Engineering?

May 8, 2025 (05:14)
By: TheAverageEngineer

The Average Engineer explores *artificial intelligence* and *ai limits* by comparing human problem-solving with what AI can do. He shows how *intuition* helps with *problem solving**, showcasing why **machine learning* can’t replace human creativity.

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