All Hands on Data #64
What are we doing? Is everything a mess? Woe is we! This week we dive into some more critical articles, with some AI and ChatGPT to balance it all out.
What are our stakeholders doing, even?
“Ever since the term came to my attention, I've been enthralled with 'Decision Science'. Robert points out that decision-making is a tricky task. More importantly, he explains that there is an even bigger, more meta problem. Deciding is one thing, but figuring out which decisions are the important ones is even more difficult.” - Arynn Martin-Post
Is Everyone's Data Infrastructure A Mess?
“With all the blog posts in the data space, the grass always seems a little bit greener at other companies. But underneath the surface, everyone's data has some blemishes. We prioritize speed and action over pristine setups. And maybe that's ok!” - Blake Burch
There is no Data Engineering roadmap
“A really interesting piece that lays out the two most important things to know about getting started in data engineering: 1) there is no roadmap 2) SQL. Basically, the author says getting into the field does not require any "secret recipe" - all it needs is to do work and to know SQL. Better dust off ye olde "SELECT for beginners"...” - John Forstmeier
Why (some data people) Love Rust?
“As someone who loves Rust but is accustomed to Python, this resonated with me. As a language I think Rust is great with many advantages over Python. In data science and data engineering though, Python is king, and is not going anywhere. That being said it is clear that Rust is making inroads into the data-sphere (i.e. Polars) and is much more than a niche systems language. This article highlights some of the strengths and advantages of Rust and how they may appeal to data engineers.” - Wes Poulsen
Here's 9 ways to turn ChatGPT Plus into your personal data analyst with the new Code Interpreter plug-in
“A useful way to use ChatGPT for data scientists” - Johnathan Rodriguez
AI Is Thirsty
“We have been having a great time at Shipyard trying out the newest advancements in AI. However, we haven't thought about what the consequences of these tools are yet. Clive dives into the water usage that is required to make some AI work in this article.” - Steven Johnson