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Integrate SageMaker Data Wrangler into your MLOps workflows with Amazon SageMaker Pipelines, AWS Step Functions, and Amazon Managed Workflow for Apache Airflow (MWAA)

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1-sagemaker-pipelines example is training with headers in the dataset and using the index as the label

Hi, I have been following the example notebooks in the [1-sagemaker-pipelines](https://github.com/aws-samples/sm-data-wrangler-mlops-workflows/tree/main/1-sagemaker-pipelines) directory to create a Sagemaker pipeline that uses a Data Wrangler flow. I am trying to get my head...

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Integrate SageMaker Data Wrangler into your MLOps workflows with Amazon SageMaker Pipelines, AWS Step Functions, and Amazon Managed Workflow for Apache Airflow (MWAA)

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