Home icon

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

Machine Learning Blog

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
Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Aug 16
2024
Perform generative AI-powered data prep and no-code ML over any size of data using Amazon SageMaker Canvas
May 8
2024
Amazon SageMaker now integrates with Amazon DataZone to streamline machine learning governance
Aug 16
2024
SageMaker Canvas unlocks no-code ML and data preparation at petabyte-scale
Dec 3
2024
Introducing Amazon SageMaker Data and AI Governance

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.