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English(EN) Data modeling best practices for Amazon Quick Sight multi-dataset relationships

Amazon QuickSight 支持多数据集关系,实现灵活的数据建模

Amazon QuickSight 推出了名为“多数据集关系”的新功能,允许用户定义不同数据集之间的逻辑连接。这消除了预先展平数据的需求,实现了在运行时进行联接,从而保留了数据的原生粒度并简化了数据管理。该功能支持星型、雪花型和星座型等各种数据建模模式,为复杂的分析场景提供了更大的灵活性。 AI

影响 通过允许在 BI 工具内管理复杂的数据关系,简化了 AI/ML 分析的数据准备工作。

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在 AWS Machine Learning Blog 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Amazon QuickSight 支持多数据集关系,实现灵活的数据建模

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报道来源 [2]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Ying Wang ·

    Amazon Quick Sight 多数据集关系的建模最佳实践

    Today, we are excited to announce Multi-Dataset Relationships in Amazon Quick Sight. This new capability lets you define logical relationships between Quick Sight datasets and perform runtime joins at query time. Instead of flattening tables ahead of time, you keep each table as …

  2. AWS Machine Learning Blog TIER_1 English(EN) · Ying Wang ·

    Amazon QuickSight 多数据集关系的 数据建模模式

    In this post, we shift from concepts to patterns. For each schema, you’ll find a table structure, use cases, implementation steps, and sample SQL queries. We also cover workarounds for advanced scenarios that require extra modeling steps, and close with a summary of current limit…