lakehouse-monitoring-comprehensive

What problem does it solve?

This Skill provides a comprehensive framework for setting up and managing Databricks Lakehouse Monitoring, enabling you to define custom business metrics, track data quality, and detect drift in your Gold layer tables.

Core Features & Use Cases

• Custom Metric Definition: Create AGGREGATE, DERIVED, and DRIFT metrics using the Databricks SDK.
• Monitoring Strategy: Design and implement a robust monitoring strategy for critical data assets.
• Deployment Patterns: Understand how to deploy monitors and query monitoring output tables.
• Use Case: Automatically monitor your fact_sales_daily table for critical KPIs like total_revenue and revenue_drift_pct, ensuring data accuracy and detecting anomalies before they impact downstream applications.

Quick Start

Set up a comprehensive Databricks Lakehouse Monitoring configuration for your Gold layer tables.