Orchestrate data processing jobs, querybooks, and notebooks using visual workflow experience in Amazon SageMaker
Big Data Blog
AWS has launched a new visual workflow builder in SageMaker Unified Studio that enables data engineers and analysts to orchestrate data processing jobs, querybooks, and notebooks without manually coding Python DAGs.
- Provides a visual interface for creating workflow orchestrations
- Automatically converts visual workflows to Python DAG definitions
- Integrates with Apache Airflow and Amazon Managed Workflows for Apache Airflow (MWAA)
- Allows easy creation of end-to-end data processing workflows
- Supports tasks like ETL, SQL queries, and notebook executions
The new feature simplifies workflow creation, reduces development time, and enables users to focus on core data tasks instead of manual workflow implementation.
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