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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.
Why dropbox picked Apache superset as data exploration tool?
Apache superset is gaining momentum and if you want to understand the reasons behind that, you can start by reading this article here
Growth: Adjacent User Theory
I love the framing via this LinkedIn post here where Nimit Jain says that Great Growth PM output looks like “We discovered 2 new user segments who are struggling to proceed at 2 key steps in the funnel and simplified the product for them via A/B experiments. This lead to conversion improvement of 5-10% at these steps so far. We are now working to figure the next segment of users to focus on.”; you can read about the Adjacent user theory here
SQL window functions
Need intro to SQL window functions? Read this
Luigi vs Airflow
Really good matrix on comparing 2 popular ETL workflow platforms. Read here
A data engineer’s point of view on data democratization
If more people can easily access data that was previously not accessible to them then that’s a good thing. This is a good read on various things to consider, read here
Apache Superset growth within Dropbox:
Thanks for reading! Now it’s your turn: Which article did you love the most and why?Note from Paras: To support this blog and free content here, I partnered with Datacamp for affiliate marketing revenue. I personally use this platform (see my profile here) and highly recommend it. I wouldn't be endorsing them if it wasn't 10/10! Click on the link below to start your journey towards becoming the BEST data professional! Paras's datacamp referral link