Data Engineering Podcast

Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

March 31st, 2024  •  50 mins 44 secs  •  Download (31.9 MB)  •  Link with Timestamp

RSS Feed

Working with data is a complicated process, with numerous chances for something to go wrong. Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. While there are numerous products available to provide that visibility, they all have different technologies and workflows that they focus on. To bring observability to dbt projects the team at Elementary embedded themselves into the workflow. In this episode Maayan Salom explores the approach that she has taken to bring observability, enhanced testing capabilities, and anomaly detection into every step of the dbt developer experience.