Migrate Amazon SageMaker Data Wrangler flows to Amazon SageMaker Canvas for faster data preparation
Machine Learning Blog
This article provides a step-by-step guide on how to migrate existing Amazon SageMaker Data Wrangler flows to Amazon SageMaker Canvas for faster data preparation.
Specifically, the article covers:
- Solution overview and prerequisites
- Copying Data Wrangler flow files from SageMaker Studio Classic to Amazon S3
- Importing the flow files into SageMaker Canvas from Amazon S3
- Using SageMaker Canvas for data transformation with SageMaker Data Wrangler
- An alternate migration method directly from local machine
- Cleanup steps to save costs
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 20
2024
2024
Amazon SageMaker Canvas now supports data flows import, and faster data prep for ML
Oct 28
2024
2024
Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas
Jul 16
2025
2025
Amazon SageMaker streamlines S3 Tables workflow experience
Sep 22
2025
2025
Use Apache Airflow workflows to orchestrate data processing on Amazon SageMaker Unified Studio
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.