Emerging Architectures for Modern Data Infrastructure by Matt Bornstein, Jennifer Li, Martin Casado via @future

This detailed look at the modern data stack was initially created in 2020 and has been recently updated to show how things are evolving. Covers best-in-class architectures for both analytic and operational systems and lays out a hypothesis for why specific changes are happening. The article came out of discussions with dozens of practitioners.

I found this very interesting - and the fact that it highlights the changes from the original version gives us all a great idea as to how things have changed. Use it for discussion in your own teams and what needs to be changed.

Infrastructure, scaling and staffing top barriers to analytics success by David Weldon via @infomgmt

While the number of firms implementing big data projects is on the rise, many cite a number of significant challenges.

A good list of barriers.  I would say for staffing it's actually only for certain skills or disciplines as there are still shortages for those. The solution is not quick and needs a concentrated effort in training and education. However that is not the complete solution as experience is also needed.

5 Career Paths in Big Data and Data Science, Explained by Matthew Mayo via @kdnuggets

Sexiest job... massive shortage... blah blah blah. Are you looking to get a real handle on the career paths available in "Data Science" and "Big Data?" Read this article for insight on where to look to sharpen the required entry-level skills.

I LOVE this article, it also have some great articles off the links in it.  I recommend reading this so that you can work out which role you are more like and what you need to do in order to improve your skills.