{
  "id": 2227808,
  "title": "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",
  "url": "https://urgent.news/2026/08/20/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-2227808",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-20T21:23:29.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "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/"
  },
  "original_language": "en",
  "account": "Part 2 of this blog series focuses on data preparation and model building using Amazon SageMaker Canvas. This no-code machine learning service connects directly to Snowflake data sources, allowing users to transform and prepare data visually. The XGBoost algorithm is employed to build a fraud detection model.",
  "summary": "In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards in Part 3.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "AWS Machine Learning",
        "title": "Build intelligent security for healthcare APIs with Amazon Bedrock",
        "url": "https://urgent.news/2026/08/20/build-intelligent-security-for-healthcare-apis-with-amazon-bedrock",
        "published": "2026-08-20T15:20:03.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}