Introducing Jobs in Amazon SageMaker
Big Data Blog
AWS has introduced a new data processing job experience in Amazon SageMaker Unified Studio, enabling users to efficiently process large volumes of data through various methods:
- Create jobs using Visual ETL editor, code-based notebooks, or interactive scripts
- Run jobs on-demand, schedule them, or orchestrate with SageMaker workflows
- Monitor job status, view run history, and access performance metrics
- Utilize generative AI troubleshooting for quick error resolution
- Supports both visual and code-based job creation with consistent AWS analytics service experience
The new feature provides data engineers and scientists a unified environment to build, manage, and monitor data processing workloads across their organization, simplifying complex data transformation tasks.
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