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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)

Integrate SageMaker Data Wrangler into your MLOps workflows

Latest Version License: MIT

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Get Started

  1. Setup an Amazon SageMaker Studio domain.

  2. Log-on to Amazon SageMaker Studio. Open a terminal from File menu > New > Terminal

    sf

  3. Clone this repository

git clone https://github.com/aws-samples/sm-data-wrangler-mlops-workflows.git data-wrangler-pipelines
  1. Open the 00_setup_data_wrangler.ipynb file and follow instructions in the notebook

Setup end-to-end MLOps Pipelines

  • Setup Amazon SageMaker Data Wrangler with SageMaker Pipelines
  • Setup Amazon SageMaker Data Wrangler with AWS Step Functions
  • Setup Amazon SageMaker Data Wrangler with Amazon Managed Workflow for Apache Airflow

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.

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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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