All Hands on Data #49
For the first time in 49 weeks, two of our crew members submitted the same article. Collusion or great minds think alike? I'll let you choose...
A naive approach to data
The author challenges the "all data is good data" mantra and pushes for a minimal and focused approach to collecting data. Instead of drying to drink the sea, the author argues for collecting a few, targeted pieces of data because 1) we won't understand larges swaths of it and 2) we likely won't ever use it. In the words of Marie Kondo ask: "Does this spark joy?" - John Forstmeier
Why It's Important to Change Misconceptions About Data Warehouse Technology
Having trouble getting your boss on board the data cloud train? This article addresses the misconceptions many have about cloud and hybrid data warehouse technology. As Thangaraj notes, agility is foundational to a successful digital business. Understanding modern data warehousing and how it is changing could help push businesses towards adoption giving them the flexibility they are lacking. - Katt Baum
How Businesses can benefit by Integrating ChatGPT in their Apps
This article offers a comprehensive overview of the benefits and practical advantages of integrating ChatGPT into a business app. It highlighting the ways in which ChatGPT can increase efficiency, save costs, and improve customer satisfaction. Additionally, the article outlines the ease of implementation and strategies for optimizing ChatGPT's performance, making it a solid read for businesses looking to enhance their customer service. - Jon Davidson
Having recently integrated OpenAI into our platform, I find it interesting to read about all the benefits integrating AI tools into products like providing real-time responses to customers using the product (say goodbye to your on-call weekends). Increasing efficiency and reducing the workloads for employees while also improving customer engagement and satisfaction?! Count me in! - Reed Cowan
6 ways to avoid data debt
It paints a concise picture of a pressing issue a lot of data teams are experiencing - Angel Catalan
Setting up CI/CD for Python Packages using GitHub Actions
If you're in the business of producing and managing Python projects, then there will come a point where you absolutely need some form of CI/CD. Github Actions should be one the tools you explore first; its availability and ease of use make it a compelling option. This article is a good primer for setting up GH Actions for a simple Python package - Wes Poulsen
The Portfolio that Got Me a Data Scientist Job
When I hear the phrase job search, I shutter from the experience I had searching for my first data role post teaching. I definitely was not leveraging a portfolio well which was a learning curve for me. For any of you out there searching for a first role or maybe a new role, Matt does a great job breaking down what needs to go in your portfolio here. - Steven Johnson