Within the earlier half, we’ve arrange Elementary in our dbt repository and hopefully additionally run it on our manufacturing. On this half, we are going to go extra intimately and study the out there assessments in Elementary with examples and clarify which assessments are extra appropriate for which sort of knowledge situations.
Right here is the primary half for those who missed it:
Opensource Knowledge Observability with Elementary – From Zero to Hero (Half 1)
Whereas operating the report we noticed a “Check Configuration” Tab out there solely in Elementary Cloud. This can be a handy UI part of the report within the cloud however we are able to additionally create check configurations within the OSS model of the Elementary in .yaml
information. It’s much like organising native dbt assessments and follows an identical dbt native hierarchy, the place smaller and extra particular configurations override larger ones.
What are these assessments you possibly can arrange? Elementary teams them underneath 3 predominant classes: Schema assessments, Anomaly assessments, and Python assessments. So let’s undergo them and perceive how they’re working one after the other: