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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.
(1) The Modern Data Stack
Amazing artcile by Tristan Handy explaining modern data stack. If you are familiar with tools such as Looker, Redshift, Snowflake, BigQuery, FiveTran, DBT, etc but wondered how each of them fit into an overall architecture, then this is a must read! Read here
(2) How can data engineering teams be productive?
Good mental model and tips to build a productive data engineering team. Read here
(3) Why is future of Business Intelligence open source?
From the founder of Apache superset on why he beleives that the future of BI is open source? Read here.
(This is also a great marketing pitch for Apache Superset so please read this with a grain of salt and be aware about author’s bias on this topic)
(4) How Data and Design can work better together?
Diagnose with data and Treat with Design. Great artcile by the Julie Zhuo here
(5) Zach wilson believes that standups can be less productive in data engineering teams compared to software engineering teams
Interesting observations on his LinkedIn thread here
Thanks for reading! Now it’s your turn: Which article did you love the most and why?