Reaching 20k+ readers on Medium and over 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
You Can Build A Data Pipeline In <90 Min.
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present and future data professional! Since today is a U.S. holiday, I won’t take much of your time; the good news is that, when conducted efficiently, building a data pipeline doesn’t have to take days, weeks or months. In fact, you can build a data pipeline in as little as 90 minutes. Accelerating pipeline development depends on a thorough read of the documentation, a familiarity with your scripting language’s requests library and patience dealing with pesky data structures. If you think, during this time, engineers are heads-down, you may have watched The Social Network too many times; personally, I like a little external stimuli while coding, which is how I ended up building a full dashboard during another American pastime–a baseball game. My secret? Distilling data with clean views, which I recommend over bloated source tables for both aesthetic and performance reasons. Even optimizations like views have their limitations, leading to optimization ceilings. The best way to break through, aside from stubbornness, is a combination of incremental problem-solving and “big picture” data modeling to reassess resources and attack the problem completely. Since I don’t want you to have to work any harder today, here are the embedded links as text:
If you’re celebrating America today, happy 4th! Thanks for ingesting, -Zach |
Extract. Transform. Read.
Reaching 20k+ readers on Medium and over 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
Hi fellow data professional! Remember when the world ended? This month, 6 years ago, the world shut down and entered “unprecedented times.” Shortly after COVID-19 was designated a pandemic, I was unceremoniously furloughed from my day job at Disney World for 3-ish months. During COVID while others quarantined, I was on the move. After quickly feeling isolated in our third floor Central Florida apartment, my now-wife and I joined millions of other American 20-somethings who took a pandemic as...
Hi fellow data professional! I’ve broken my own data project rule. I’ve used the same data over and over again. For 3 years. It sounds boring but that depth exposure may actually be one of the few moats that slows encroaching AI. A little context: I support subscriptions, newsletters and growth for my employer. Spoiler alert: These areas are all basically the same thing. And they use basically the same three data sets. While I have opportunities to jump to other projects, this has been my...
Hi fellow data professional! I had a very adult weekend after baby bedtime. I uncorked a bottle of wine, cracked open my laptop and… stayed up late making a dashboard tracking my assets and debts. While I learned some important high-level insights that will help me make financial decisions as I renovate and prepare to move into my home, I realized a basic development truth that could help anyone knee-deep in their own project. If your goal is commit or ship then the simplest implementation...