Operationalizing data pipelines on Azure
Operationalizing data pipelines on Azure is a process of creating, managing, and maintaining data workflows in the Azure cloud. It involves several key steps, including scheduling data pipelines, monitoring data pipelines, and implementing a Continuous Integration/Continuous Deployment (CI/CD) process for data pipelines.
Scheduling data pipelines on Azure
Scheduling data pipelines on Azure is a crucial step in the operationalization process. It ensures that data pipelines are run at the appropriate times and frequencies, and that data is updated and available when needed. ADF provides several ways to schedule data pipelines, such as triggers, schedules, control flows, and data flows, which offer flexibility in scheduling data pipelines based on time, events, or conditions.
ADF provides two different ways to schedule data pipelines:
- Triggers: A trigger is a way to start a pipeline on a schedule or in response to an event. ADF...
