Top data engineering writer on Medium & Senior Data Engineer in media; I use my skills as a former journalist to demystify data science/programming concepts so beginners to professionals can target, land and excel in data-driven roles.
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 |
Pipeline To DE
Top data engineering writer on Medium & Senior Data Engineer in media; I use my skills as a former journalist to demystify data science/programming concepts so beginners to professionals can target, land and excel in data-driven roles.
Extract. Transform. Read. A newsletter from Pipeline: Your Data Engineering Resource Hi past, present or future data professional! Somewhere along your professional development journey someone lied to you. They told you to crank out resumes because no one reads cover letters. This couldn’t be further from the truth as 87% of hiring managers read cover letters. Such a high read rate represents a compelling opportunity to sell your data skills and showcase a bit of personality. The problem?...
The Latest From Pipeline: Your Data Engineering Resource Hi past, present or future data professional! I hope you’ll indulge my sharing of an important career milestone; unfortunately, I’m not retiring with a gold Rolex snug on my wrist. Instead, this week marks 3 years in data engineering. I’m excited about this work-iversary because it marks a period of time in which I’ve been working in data engineering longer than my prior non-data job. If you’ve read my work you know I’ve taken an...
Extract. Transform. Read. A newsletter from Pipeline: Your Data Engineering Resource Hi past, present or future data professional! Browsing through files recently, I found 100+ old resumes I used to apply for data jobs in 2021. While data science is sold as a “good career”, the truth is it’s always been tough to break in. Those looking for jobs need to do more than ever to distinguish themselves. For anyone looking for a job you may have been taught to network with recruiters and hiring...