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Databricks Data Engineer Certification
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Module 9
Orchestration with Databricks Workflows
1
Multi-Task Jobs in Databricks Workflows
Create and configure multi-task jobs in Databricks Workflows.
2
Job Dependencies and Execution Order
Set up task dependencies and execution order within a job.
3
Job Clusters vs. All-Purpose Clusters for Workflow Tasks
Configure job clusters vs. all-purpose clusters for workflow tasks.
4
Robust Job Execution: Error Handling & Retries
Implement error handling and retry policies for job tasks.
5
Scheduling and Monitoring Databricks Jobs
Schedule jobs and monitor run history using the Databricks UI.
6
Passing Data Between Tasks
Use job parameters and task values to pass data between tasks.
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Data Governance and Security with Unity Catalog
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Production Operations and Automation