Today, organizations often need to leverage services across different cloud platforms to maximize their data science capabilities. One common scenario is analyzing data stored in Google BigQuery using Amazon SageMaker’s advanced machine learning tools.
This article presents a comprehensive guide to establishing a direct connection between Google BigQuery and Amazon SageMaker Studio through Data Wrangler, offering a cost-effective and secure solution that eliminates the need for data duplication and reduces data transfer overhead.