Table of Contents

  1. Data transformation
  2. Data testing
  3. Implementations + deployment
  4. Documentation + metadata
  5. The modern data stack
  6. Data dream teams

dbt 101 (EU and US-friendly)

Carly is a recovering Texan and technology consultant who has spent the past two years building a BI stack (using dbt!) for a well-known Denver-based photo printing company. When she's not geeking out in SQL, you’ll find her enjoying the Colorado outdoors with her husband, daughter, and Wally the Labrador.

As the sole analyst a fast-growing Sydney startup, Claire experienced the pain of the traditional analyst workflow — stuck on a hamster wheel, an ever-growing backlog, and numbers that never quite matched up. So she taught herself dbt, the command line, version control and brought all the rigor of analytics engineering to her team. Along the way, she fell so in love with dbt that she eventually packed up and moved to the US to lead the growing dbt community. In addition, to answering hundreds of questions every week in dbt Slack, she keeps her data skills sharp working as an analytics engineering consultant on the Fishtown Analytics team.

Originally presented on 2020-12-10

Coalesce is a conference for the dbt community! Most of our sessions assume you already have an understanding of dbt. If dbt is new to you, join us in this session to get up to speed. We'll go through the basics and give you all the information you need to get the most value out of this conference!

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