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The Three Types of Laziness in Data Engineering: Which One Are You?
As data engineers, we are constantly faced with tasks that we don’t want to work on. It’s a natural feeling that we all experience at some point. However, did you know that there are actually three types of “laziness” that can arise when it comes to data engineering? Let’s explore them and see which one resonates with you.
1. Procrastination — “The Art of Delaying the Start”
Procrastination is when we keep putting off the start of the task, whether it’s because we’re feeling overwhelmed or just don’t want to deal with it at the moment. We find ways to distract ourselves, such as checking emails or browsing social media. However, the longer we put it off, the more daunting the task becomes. Procrastination can be a dangerous habit in data engineering because the longer we delay, the more likely it is that we’ll miss a deadline or delay a project.
2. Quick and Dirty — “The Fast but Flawed Approach”
Quick and dirty is when we rush through the task just to get it over with, often leading to subpar results and requiring us to go back and fix it later. It’s a common approach when we’re under pressure to deliver results quickly.
