Claire Carroll

Claire Carroll 6 Dec 2021 December 6, 2021 Claire Carroll

Together, we’ll demystify the git flow and build a mental model for how git works. You’ll leave the talk feeling ready to use git on every project you work on!

Carly Kaufman | Claire Carroll 10 Dec 2020 December 10, 2020 Carly Kaufman, Claire Carroll

Watch Carly Kaufman and Claire Carroll's talk replay from the Coalesce analytics engineering conference in 2020.

Claire Carroll 7 Apr 2020 April 7, 2020 Claire Carroll

For the foreseeable future, all in-person dbt events are cancelled. But we have some good stuff in the works.

Claire Carroll 16 Mar 2020 March 16, 2020 Claire Carroll

Marketing attribution has long been one of the stickiest problems in analytics. But with raw data, SQL, and dbt a previously complex problem can become beautifully simple.

Claire Carroll 17 Jan 2020 January 17, 2020 Claire Carroll

If you’re a data analyst at a SaaS company or an ecommerce business with a subscription component, it is inevitable that you will be asked to analyze metrics like churn, upgrades, and downgrades. Here's how to do this with dbt.

Claire Carroll 16 Oct 2019 October 16, 2019 Claire Carroll

Analytics engineers provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions.

Claire Carroll 3 Oct 2019 October 3, 2019 Claire Carroll

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.

Claire Carroll 10 Sep 2019 September 10, 2019 Claire Carroll

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.

Claire Carroll 22 Jul 2019 July 22, 2019 Claire Carroll

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.

Claire Carroll 15 Jul 2019 July 15, 2019 Claire Carroll

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.

Claire Carroll 11 Mar 2019 March 11, 2019 Claire Carroll

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.