Reaching 20k+ readers on Medium and nearly 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.
Your API Builds Are Boring (Until Now)
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present and future data professional! Tired of playing with the same 3 APIs? At the end of this email you’ll find a list of 13 offbeat APIs to make ETL interesting again. But before you make your first request, read my cautionary tale of accidentally racking up $300 in charges on 1 API. Clearly, APIs can seem like black boxes offering unlimited data; to efficiently access that data, you need to think about how you’re “talking” with your API service. If you receive one too many “unauthorized” errors, you may not be reading the docs closely; this guide tells you to approach API documentation reading like an SAT reading comprehension test. Before Reddit started acting like a budget airline carrier nickel-and-diming customers, it offered an API perfect for beginning developers. Finally, if you want to go beyond ETL, you can do so much more with APIs, like reading and deleting emails (except this one, I hope!). Get your offbeat API guide here! If you’re like me and are undefeated in IT phishing tests, here are this week’s embedded links:
Thanks for ingesting, -Zach |
Extract. Transform. Read.
Reaching 20k+ readers on Medium and nearly 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 past, present or future data professional! If you’re in the U.S., Happy Thanksgiving! I’m prepping for my food coma, so I’ll make this week’s newsletter quick. Like millions of Americans, I’ll be watching NFL football (go Ravens!). The average NFL game is 3 hours. If you can skip just one of today’s games and carve out that time for professional development, here’s how I’d spend it. In the spirit of football, I’ll split the time designation into 4 quarters. Documentation pass - if you read...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! In 2 weeks or so The Oxford English Dictionary will reveal its 2025 word of the year, a semi-democratic process that lends academic legitimacy to words like “rizz” (2023’s pick). If you’re currently employed or interact with white collar workers, you would think the word of the year is “headwinds.” Used in a sentence: “We’ve pivoted our AI strategy but still encountered headwinds that...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! After choosing a dataset, one of the most significant decisions you must make when creating displayable work is: How am I going to build this thing? For some, you may try to “vibe code” along with an LLM doing the grunt technical work. If you choose this approach, be warned: Nearly half of all “vibe code” generated contains security vulnerabilities and that’s before you even consider its...