Building data teams When did analytics engineering become a thing? And why? Analytics engineers provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions. Here are the market trends that gave rise to the newest role on modern data teams.
Opinion Write better SQL: In defense of group by 1 My love for group by 1, 2 developed when I was a fledgling analyst and has only grown. Even if you disagree, I hope this rant will inspire you to be more opinionated in your SQL style.
How-To How to track data changes with dbt snapshots All data analysts have faced the problem–how do I model data when the record in the data warehouse keeps changing? In this post, I'll cover how to solve this using dbt snapshots.
How-To How Monzo, the UK’s favorite mobile-only bank, is rolling out dbt Stephen Whitworth, Data Engineering Lead at Monzo, spoke at the London dbt Meetup a few weeks ago. Here are my thoughts on his talk and what the dbt community can learn from it.
Opinion Five principles that will keep your data warehouse organized The natural state of the universe is chaos: entropy tends to increase in closed systems, and there’s really nothing that we can do about that. So too is the nature of data warehouses: unless action is taken to maintain order.
Opinion Is dbt the right tool for my data transformations? As dbt is adopted by a wider community, we want to be extremely clear about when dbt is, and is not, a fit for your project. This guide will help you figure out if dbt is right for your data transformations.
