This article provides strategies for overcoming obstacles in data analytics development. The author suggests stepping away from the problem to gain a fresh perspective, reframing assumptions about the data or code, isolating individual segments of code for troubleshooting, analyzing one example record to identify issues, and approaching problems systematically. The article emphasizes the importance of maintaining a calm and open-minded approach to problem-solving in data projects.
Rephrased Text:
Dealing with obstacles in developing data analytics approaches
We have all experienced challenges when writing SQL queries, constructing data pipelines and creating predictive models. Sometimes, we encounter unexpected outcomes such as abnormal record numbers, incorrect results, or data fields not populating correctly. When facing this kind of problem without any clear indications, how do we tackle it?
Drawing from my 6+ years of experience in various analytics roles, I have gathered some effective strategies to overcome development obstacles. I will share some successful techniques in the following sections that may make you more savvy in dealing with such situations.
“Have You Tried Turning it Off and On Again?”
No, I don’t mean restarting your computer. I’m suggesting taking a pause from your work. Therefore, do go for a short walk.
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