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A production-ready PySpark project template with medallion architecture, Python packaging, unit tests, integration tests, CI/CD automation, Databricks Asset Bundles, and DQX data quality framework.
Managing and monitoring jobs in Databricks can be a daunting task, especially as the number of jobs grows. To streamline this process, we can automate the extraction of job metadata and store it in a centralized table for easy access and monitoring.