All Hands on Data #11
The NFL preseason starts this week. Feel free to use these articles as a time-waster until the games begin.
The data rules worth $40,000 a day
While the article is highlighting some of TinyBird's features, it does raise some really interesting points - particularly the five rules about querying data. And to me, while cloud services have made the ability to pipe and store data incredibly easy, it pays to keep in mind some basic SQL best practices. - John Forstmeier
What is a Feature Store?
This article does what other feature store introductory articles do not - it explains well the core components of a feature store and how they interact. Though implementing a feature store does seem like something immediately required to being ML work, I am now convinced that a feature store is useful and more than just extra columns in a database. - Eric Elsken
Airflow's Problem
We all know that Airflow can be problematic for building sustainable data workflows, but Stephen does an excellent job of articulating the changes in data culture that have resulted in some of these problems. The biggest of which, in my opinion, is the need to orchestrate systems - not scripts. - Blake Burch
Getting Rusty? How to Relearn Data Science
While this post is certainly partly to push one of ODSC's training programs, Wallace makes great points on how to keep your skills sharp. Honestly, these apply to all types of fields. Taking time to refresh your knowledge and challenge yourself not only keeps you on top of your game, it keeps you passionate. - Katt Baum
Streaming data on object storage: Thoughts
The piece is slightly more technical (but does a good job explaining at a high level) dive into the various options and trade-offs associated with attempting to "stream" files to popular file storage services like S3. It made me think about an article I read a while ago that discussed how startups could compete with titans like AWS: find small pain points in their existing offerings and build out niche solutions. Maybe this is one? - John Forstmeier
Getting Started with dbt Core - Exporting Documentation
This articles walks through how you can export documentation from dbt core to cloud data storage. If you are a dbt Cloud user, you can modify the steps slightly to export your documentation as well. - Steven Johnson