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Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

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The article provides an overview of how to integrate Amazon SageMaker Canvas, a no-code machine learning service, with Amazon DataZone, a data management service for data governance and collaboration.

Specifically, the article covers:

  • An introduction to Amazon DataZone and Amazon SageMaker Canvas
  • The solution overview, featuring the roles of data admin, data publisher, and data scientist
  • Prerequisites for the integration
  • Steps for the data admin to set up Amazon DataZone resources
  • The data scientist workflow: discovering and subscribing to data, preparing data, building an ML model, and publishing the model back to Amazon DataZone
  • How to clean up resources
  • Conclusion highlighting the benefits of the integration


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