(if this newsletter was forwarded to you then you can subscribe here: https://insightextractor.com/)
The goal of this newsletter is to promote continuous learning for data science and engineering professionals. To achieve this goal, I’ll be sharing articles across various sources that I found interesting. The following 5 articles made the cut for today’s newsletter.
(1) Scaling data
Fantastic article by Crystal Widjaja on scaling data. It shares a really good framework for building analytics maturity and how to think about building capabilities to navigate each stage. Must read! Here
(2) Building startup’s data infrastructure in 1-Hour
Good video that touches multiple tools. Watch here: https://www.youtube.com/watch?v=WOSrRTaNIm0 (it’s a little outdated since it was shared in 2019 which is 2 years ago but the architecture is still helpful)
(3) Analytics lesson learned
If you haven’t read lean analytics, I recommed it! After that, you should read this free companion which covers 12 good analytics case studies. Read here
(4) Organizing data teams
How do you organize data teams? completely centralized under a data leader? or do you structure it de-centralized reporting into leaders of business functions? some good thoughts here
(5) Metrics layer is a missing piece in modern data stack
This is a good article that encourages you to think about adding metrics layer in your data stack. In the last newseltter, I also shared an Article that talks about Airbbn’s Minerva metrics layer and this article does a good job of providing additional reasons to build something simiar. Read here
Thanks for reading! Now it’s your turn: Which article did you love the most and why?