The Perils of Heroic Data Work: Just Say, “Eww.”

We've all been there. You're up against a deadline, working tirelessly to get the job done. I know how tempting it can be to take shortcuts when you're under pressure. But trust me when I say that it's not worth it.

by | Oct 18, 2022 | Blog

The Perils of Heroic Data Work: Just Say, “Eww.”

We’ve all been there. You’re up against a deadline, working tirelessly to get the job done. But what happens when that “job” leaves a hairball of technical debt that will need to be fixed and improved tomorrow? And what if, in a rush to get it done, you’re skipping key steps like automated testing and version control? Believe me, I know how tempting it can be to take shortcuts when you’re under pressure. But trust me when I say that it’s not worth it.

 

 

The Problem with Heroism

When you’re working with data, it’s important to remember that quality trumps quantity every time. Sure, you might be able to deliver the goods on Monday morning with a “heroic” all-nighter. But what happens when your work is riddled with errors? Not only will you have to go back and fix those errors, but you’ll also likely damage your credibility in the process. Worse yet, your shoddy work could end up costing the company money.

And let’s not forget about the long-term effects of taking shortcuts. When you skip key steps in the data process—like automated testing and version control—you’re setting yourself (and your team) up for future problems. It may not seem like a big deal at the moment, but down the line, you’ll wish you had taken the time to do things right.

 

Perils of Heroic Data science and data engineering Work, Angry, Bitter, Colorful, by Caravaggio , Lens Flare, Beautiful Lighting

“Perils of Heroic Data science and data engineering Work, Angry, Bitter, Colorful, by Caravaggio, Lens Flare, Beautiful Lighting” by DiffusionBee

 

Just Say “Eww”

So next time you feel pressured to cut corners, just say, “eww.” Your future self will thank you for taking the time to do things right. Trust me, there’s no shame in being a data hero who plays by the rules.

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