Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas

This article demonstrates how to import data from Google Cloud Platform (GCP) BigQuery into Amazon SageMaker Canvas for no-code machine learning, without moving data between cloud environments.

Specifically, the article covers:

• Setting up Amazon Athena federated queries to access GCP BigQuery data
• Importing the BigQuery data into SageMaker Canvas using Athena as an intermediate
• Building a machine learning model in SageMaker Canvas to predict customer churn
• Generating batch predictions using the trained model
• Benefits like seamless integration, secure access, and scalability offered by this solution
• Conclusion highlighting the ease of using SageMaker Canvas for no-code ML