all AI news
Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary
Data Engineering Podcast www.dataengineeringpodcast.com
Summary
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 …
accounting anomaly anomaly detection building data dbt detection elementary errors observability organization process products projects something summary trust up to date