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Databricks data engineer certification
·
Module 9
Orchestrating Production Workflows
1
Creating Multi-task Jobs in Databricks Workflows UI
Create a multi-task job in the Databricks Workflows UI.
2
Managing Task Dependencies
Configure task dependencies to define execution order in a workflow.
3
Scheduling Databricks Jobs
Configure a schedule to run a Databricks job at a specific time or interval.
4
Automating Databricks Jobs with File Arrival Triggers
Configure a file arrival trigger to run a Databricks job when new data lands.
5
Monitoring Workflow Runs
Monitor job runs and view task logs and outputs in the Workflows UI.
6
Managing Task Failures and Retries
Configure task failure handling including retry policies and expected duration.
Parameterizing Notebooks with Widgets in Jobs
Pass parameters to a notebook within a job using widgets.
8
Passing Data Between Tasks with Task Values
Pass data between tasks in a multi-task job using task values.
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Declarative Pipelines with Delta Live Tables (DLT)
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Governing Data with Unity Catalog