This post provides a guide on implementing a monitoring solution for dbt projects using Clickhouse. It covers the concept of data observability, the steps to implement monitoring with Clickhouse, and the use of dbt macros to parse and save run and test results.
•3m read time• From towardsdev.com
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Considering the Data Observability principels, monitoring and logging are essential to have a successfully data project. In this post we will share a guide on how you can implement a simple monitoring solution for your dbt project with Clickhouse.Step 1 : Create an empty table that will be used for storing the results.Step 2: Implement a dbt macro that will parse the run resultsStep 3: Create an on-run-end hook to insert the results and add the hook to dbt_project.ymlSort: