Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present or future data professional! For many, perhaps even yourself, it’s the most dreaded time of the year: Back to school. While data engineering doesn’t require “supplies”, it can be helpful to pick up a book or two. Aside from getting industry context, your latest data read can provide a helpful talking point in interviews or even impress in casual discussion. Though not quite a textbook, I highly recommend the book that opened my mind to the power and influence of data: Mindf*ck Cambridge Analytica And The Plot To Break America by fashion designer-turned data scientist Christopher Wiley. One of the most valuable lessons you can learn as a student is identifying what you won’t be taught. Despite its universality in data-driven orgs, SQL is under-taught in institutionalized data science curricula. Determining which skills you’ll have to learn on your own can help you prioritize your upskilling and even get you through the class from hell. And if you aren’t currently in school, picking the right certification can advance your career, while the wrong choice can lead to a cluttered LinkedIn profile—and mind. For those compiling a digital supply list, here are this week’s links as plain text:
Thanks for ingesting, -Zach |
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