Understanding Databricks Workflows
Workflows in the simplest sense are frameworks for developing and running your data processing pipelines.
Databricks Workflows provides a reliable, fully managed orchestration service for all your data, analytics, and AI workloads on the Databricks Lakehouse platform on any cloud. Workflows are designed to ground up with the Databricks Lakehouse platform, providing deep monitoring capabilities along with centralized observability across all your other workflows. There is no additional cost to customers for using Databricks Workflows.
The key benefit of using workflows is that users don’t need to worry about managing orchestration software and infrastructure. Users can simply focus on specifying the business logic that needs to be executed as part of the workflows.
Within Databricks Workflows, there are two ways you can make use of the managed workflows:
- Delta Live Tables (DLT): DLT is a declarative ETL framework to develop...
