Snowflake: Logging with Event tables

we will explore the utilization of EVENT tables to capture erroneous data. Snowflake newly introduced public preview feature enables developers to actively monitor and debug their applications. Based on business requirement, a streamlined process is developed to handle invalid records automatically without manual intervention. To achieve this, a Python process is employed to process the input feed file, identifying and excluding the flawed records, while simultaneously logging them in an event table. Additionally, an alert mechanism is implemented to monitor and send email notifications whenever such bad records are detected. Therefore, We have implemented the below framework in our project to develop data pipeline, logging to event tables, and alerting on bad data.

To delve deeper into these features and unlock even more insights, please click here  Event tables.