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(转移)大数据处理模式的思路【分区、格式、聚合、服务、通道、路由、处理、队列】


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拆分、合成、聚合、服务、通道、路由器、处理器、队列

分段、格式化、聚合、服务、通道、路由、处理、排队

其实这三个概念的设计和现在的大数据处理模式是一致的(Split,Formate,Aggergate,Service,Channel,Rounter,Processor,Queue)。

http://t.zoukankan.com/gstsyyb-p-3991938.html

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ETL模式架构:(ECCD架构)

为数据同步捕获增量数据。

ESB模式架构:

基于SOA和工作流,通过适配器访问

BPM架构:

流程再造

其实这三个概念的设计和现在的大数据处理模式是一致的(Split,Formate,Aggergate,Service,Channel,Rounter,Processor,Queue)。

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1.使用这些场景的业务非常复杂。

2.有图形。其实这对于非开发者来说是非常重要的,因为目前的处理流程是非常清晰的。

3.对于开发者来说,也是轻松梳理业务的好方法。

4.挂钩业务只提供接口,开发者只需要在上面开发自己的业务,然后DIY即可。

5.互相监控,了解运行状态。

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