Bigconfig Generator

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Streamline the implementation of data quality monitoring within the Mozilla bigquery-etl ecosystem using the Bigconfig Generator. This skill simplifies the process of configuring Bigeye alerts for BigQuery tables by automating the generation of bigconfig.yml files from metadata.yaml settings. It enables data engineers to easily establish freshness and volume checks, define column-level validation rules, and implement complex business logic via custom SQL rules. By integrating directly with existing metadata management workflows and adhering to safe deployment practices, it ensures robust monitoring without the risk of accidental configuration loss.

Características Principales

• Support for column-level validation including null and uniqueness checks
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• Implementation of custom SQL business logic validation rules
• Automated generation of bigconfig.yml from metadata settings
• Configuration of freshness and volume anomaly monitoring
• Integrated syntax validation and safe deployment workflows

Casos de Uso

• Configuring blocking alerts for critical production data pipelines
• Establishing custom business logic validation for complex datasets
• Enabling automated data quality monitoring for new BigQuery tables