使用 Amazon SageMaker 统一工作室和 SageMaker Catalog 构建离线特征库

📄 中文摘要

该方案提供了在 SageMaker 统一工作室域内使用 SageMaker Catalog 实现离线特征库的逐步指导。通过采用发布-订阅模式,数据生产者能够发布经过策划和版本控制的特征表,而数据消费者则可以安全地发现、订阅并重用这些特征表以进行模型开发。这种方法不仅提高了特征的可复用性,还增强了数据管理的安全性和效率。

📄 English Summary

Build an offline feature store using Amazon SageMaker Unified Studio and SageMaker Catalog

This solution offers step-by-step guidance for implementing an offline feature store using SageMaker Catalog within a SageMaker Unified Studio domain. By adopting a publish-subscribe pattern, data producers can publish curated and versioned feature tables, while data consumers can securely discover, subscribe to, and reuse these feature tables for model development. This approach enhances the reusability of features and improves the security and efficiency of data management.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等