The Latest From Pipeline: Your Data Engineering ResourceHi past, present or future data professional! One of the worst habits you can adapt in data engineering is to accept a tool or technology as a black box you’ll simply never understand. For me, for the longest time, this was virtual machines. I would commit and troubleshoot code that would run within a VM but never quite knew how to interact with it. Recently, I provisioned a Google Cloud Compute Engine instance for a junior teammate and learned how to simply and logically create a virtual environment that can boost compute power and accurately mimic production. The best part is, I’ve distilled this into a process that shouldn’t take you more than 5 minutes. Read the latest here. And if you want to learn why automation isn’t always the end goal of software engineering, read last week’s article. Thanks for ingesting, -Zach |
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Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! If you live in the U.S., this week marks the end of back to school season; though, if you’re like my southern relatives, you’ve been back since July. The closest feeling most adults get to back to school (aside from the teachers), is starting a new job. While a new org, title and compensation package represents new opportunities, it’s also easy to feel like the “new kid”, which can lead to being...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! I once participated in a remote job interview in which the interviewer was on the video call while driving... and smoking. While that instance was among the most memorable interview experiences (for the wrong reasons), I’ve had just as many interviews that have blended together and faded into the recesses of my mind. The common denominator, however, was the insistence on asking one question. The...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! One of the most loaded terms, after AI, is upskilling. It’s something everyone should always be doing, yet, only the most dedicated can consistently dedicate time to learning and expanding beyond their comfort zones. If you’re on the path to becoming a data professional, you’ve probably spent countless hours learning, only to find yourself wondering if you’re actually making progress. I’ve been...