构建端到云的数据与分析安全策略，支持实时决策。
An End to End Edge to Cloud Data and Analytics Strategy
- 提出端到云全链路数据与分析架构
- 涵盖设备层、边缘层和云层的参考设计
- 适合需要实时数据处理的企业部署
物联网（IoT）设备呈指数级增长，催生了依赖实时数据做出关键决策的应用。企业正加速采用云计算，亟需安全高效的架构策略以充分利用云端与边缘资源。本文提出端到端的安全端到云数据与分析策略，并提供设备层、边缘层和云层的参考架构，支持实际落地部署。
原文摘要 · Abstract (English)
There is an exponential growth of connected Internet of Things (IoT) devices. These have given rise to applications that rely on real time data to make critical decisions quickly. Enterprises today are adopting cloud at a rapid pace. There is a critical need to develop secure and efficient strategy and architectures to best leverage capabilities of cloud and edge assets. This paper provides an end to end secure edge to cloud data and analytics strategy. To enable real life implementation, the paper provides reference architectures for device layer, edge layer and cloud layer.
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