Perform generative AI-powered data prep and no-code ML over any size of data using Amazon SageMaker Canvas
Machine Learning Blog
This article introduces the new capability of Amazon SageMaker Canvas to handle petabyte-scale datasets for data preparation, model building, and inference. It provides a step-by-step guide on how to leverage this new feature using a sample flight dataset.
Specifically, the article covers:
- Prerequisites and setup
- Importing data into SageMaker Canvas and analyzing data quality
- Preparing data using the new "Chat for data prep" feature and other transforms
- Optionally exporting the prepared data to Amazon S3 using Amazon EMR Serverless
- Creating a machine learning model with AutoML and running batch predictions
- Conclusion emphasizing the democratization of machine learning with this new capability
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