# Amazon — Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas

- Company: Amazon (amazon.com)
- Announced: 2026-08-20T21:23:29+00:00
- Category: product-launch
- Subject: Bedrock / Nova
- Source: https://aws.amazon.com/blogs/machine-learning/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-2-data-preparation-and-model-building-with-amazon-sagemaker-canvas/
- Record: https://forck.live/items/4290-build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon

Amazon announces a no-code ML workflow integrating Snowflake, Amazon SageMaker Canvas, and Amazon Quick, with a focus on data preparation and model building using SageMaker Canvas and the XGBoost algorithm for fraud detection.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-2-data-preparation-and-model-building-with-amazon-sagemaker-canvas/:

> Part 2 of this blog series covers complete data preparation and model building workflow using Amazon SageMaker Canvas, demonstrating how to connect directly to Snowflake data sources, transform and prepare data using Data Wrangler’s visual transformations, and build a fraud detection model using the XGBoost algorithm.

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