'What Should I Do After the Data Observability Tool Alerts Me' dataobservability datascience
Over the last couple of years, there has been a tremendous push by data observability companies for adoption within the data stack. Educating the data community is crucial and challenging at the same time.
In comparison, things are quite different with a Data Observability ecosystem. The remedial actions can be quite different, complex and relatively challenging depending on the incident, data-stack and data infrastructure. Make changes to your scripts whether it’s SQL, Python, Airflow, or dbt models to facilitate the change in the schema.
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