Orchestration and Scheduling Data Pipeline with Databricks Workflows
Databricks Workflows is a way to automate and orchestrate data processing tasks on the Databricks platform. A workflow is a sequence of tasks that can be defined using the Databricks Workflow API or the Databricks UI. Workflows can also include conditional logic, loops, and branching to handle complex scenarios.
Databricks Workflows can help you achieve various goals, such as the following:
- Running data pipelines or ETL processes on a regular basis or in response to events
- Training and deploying machine learning models in a scalable and reproducible way
- Performing batch or streaming analytics on large datasets
- Testing and validating data quality and integrity
- Generating reports and dashboards for business insights
In this chapter, you will learn how to orchestrate and schedule Databricks Workflows. We will cover the following recipes:
- Building Databricks Workflows
- Running...
