The Latest From PipelineHi past, present or future data professional! The opening scene of The Social Network, in which a fictionalized Mark Zuckerburg writes enough code to create a website in a single night, has forever skewed new engineers’ perceptions of development pace. If you think about it, media depictions of coding are almost always blisteringly fast and under duress. So, when you start coding in your first job, you might feel like me: Pressured to crank out as much code as quickly as you can. In the process, however, you will inevitably make mistakes that range from minor infractions to potential career-enders. Just as importantly, you’ll face the very real issue of developer burnout. One of the best things you can discover for yourself as a developer with less than 1-2 years of experience is your perfect development pace. If you’re new on the job and trying to find a pace comparable to your teammates you can use or create a burndown chart to compare your speed to that of your team and overall org. However, despite your best efforts, you will encounter and need to overcome obstacles out of your control that can slow or even halt development pace. To learn how to set and stick to a reasonable pace and easily circumvent these issues, read the latest here. How fast do you tend to code? Do you find yourself finishing tasks early or struggling to keep up? Let me know: zach@pipelinetode.com Thanks for ingesting, -Zach Quinn |
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Hi fellow data professional! SQL Lite, the database you most likely learned SQL on, is built atop 100k lines of source code. Sound like a lot? Compare that to Chromium, the engine for Google Chrome, which boasts 30+ million lines of code under the hood. Shortly after acquiring Twitter/X, the world's first trillionaire, Elon Musk, famously asked engineers to tell him how many lines of code they wrote per day, igniting a debate among engineers throughout the software and data domains. When I...
Hi fellow data professional! If you read my note on Tuesday you’ll know I’m coming off of the data engineering week from hell that seeped into my personal life, and delayed the launch of something cool I was planning to share with you; if you want to know more about that, scroll to the end of this message. Last week a flagship data source had a major problem and since it’s within my ownership area, I was the one with the knowledge and responsibility to fix it. I wanted to share the experience...
Hi fellow data professional! Hardly a work day goes by without receiving a request from a data analyst. They range from the mundane “Can you add this column?” to the occasional emergency “The data didn’t load all weekend and the leadership call starts in 15 minutes!” At the end of a jam-packed week I received an unusual request: Help with a Python script. My teammate wanted to know: Best practices How to commit to GitHub What the best way to deploy is They admitted the task was simple,...