How to choose the right tools for your data pipeline
Being new to the data space, I've come across several "how to" articles and videos that vary greatly on the clarity scale. This post, however, provides clear examples for evaluating your requirements and components to pick the right tools for you. The list of considerations to filter out tools was particularly helpful as there are so many tools to choose from. - Katt Baum
Data Mesh Architecture: Reimagining Data Management
Articles like this remind me of the Linus Torvalds quote "Bad programmers worry about the code. Good programmers worry about data structures and their relationships.” Also, it brings to mind the "Bezos memo" requiring all teams to expose APIs. Basically, my takeaway here is data mesh architecture encourages teams to take ownership of their data and treat it like a product. - John Forstmeier
Is R Shiny Versatile Enough to Build a Video Game?
In my career, I generally lean more towards using Python. My experience with R is limited to doing some basic analysis in college. This article shows the power of using R and R Shiny. As a video game lover, I was also able to play a game after doing some learning which is definitely a plus! - Steven Johnson
We need to talk about dbt
With the entire data industry moving towards the adoption of dbt and singing its praises, it's also important to discuss its shortcomings. As dbt has grown with four rounds of funding, the direction it has moved in has seemed less clear and transparent. I really enjoyed Pedram's perspective, especially related to hooking into exposures. - Blake Burch
5 Ways To Use Data To Take Your Company To The Next Level
A lot of teams struggle to figure out how their data can actually be used. Teams fall into the trap of extracting data from various sources, cleaning it up, and then visualizing it. Data doesn't really matter unless you can drive business value with it. Whether it's building alerts or analyzing metadata, I thought these ideas were tangible and easy to try out. - Blake Burch
Run Your Data Team Like A Product Team
I'm a big proponent of treating your colleagues as customers and your work as a product. This ensures that you focus on the product you're producing actually meets the needs of your customer. - Jon Davidson
6 Responsibilities of a Data Engineer
Gives a good grasp what data engineering actually is, along with example of tools you will use and what the day to day looks like in a data engineering role. - Eric Elsken