If you are not a subscriber of Interesting Data Gigs, join 3615 Data geeks (between this newsletter and LinkedIn) that receive it directly in their inbox each week — it’s free.
Want to advertise here? Read our sponsoring page.
Interesting Resource of the Week: The Data Engineering Handbook by Zach Wilson
Today I wanted to share with you this amazing group of resources organized by Zach Wilson.
From books to podcasts to books to talks to papers, this will become “the place” to find the best resources related to Data Engineering.
Well done, Zach.
I need your feedback
This is issue # 70 and after more than a year of writing blindly about topics, ideas, and formats, I firmly believe I need your feedback.
My main goal with this project is to actually help you to find a better job in the Data space, and for that, I want to hear directly from you how can I adjust it to serve you better.
So, my ask here is very simple: Send me an email to marcos@interestinggigs.com with your ideas, comments, feedback, and anything you think can help us improve the quality of this newsletter.
A big thank you for being there every single week, I really appreciate that.
Interesting resources of the week
Normalization Vs Denormalization - Taking A Step Back, by
Incremental Processing using Netflix Maestro and Apache Iceberg, by Jun He, Yingyi Zhang, and Pawan Dixit
Creating a bespoke LLM for AI-generated documentation, by Databricks
Enhance query performance using AWS Glue Data Catalog column-level statistics, by Sandeep Adwankar and Navnit Shukla
Marcos out