Question: Consider a software system that processes terabytes of data generated in-house every day. The system has no Ul and aggregates the data into a centralized

 Consider a software system that processes terabytes of data generated in-house

Consider a software system that processes terabytes of data generated in-house every day. The system has no Ul and aggregates the data into a centralized database. There could be many steps in the data aggregation process. Other applications can access (and possibly update) the data. For this system, what software architecture patterns would be a good possible fit? Mark all that apply. (Note: although almost any architecture pattern could be applied to almost any system, think of the pros and cons and select only those that make the most sense in the given context!) Map-Reduce Shared Data Layer Pattern Pipe-Filter Broker Pattern Peer-to-Peer (P2P) Service Oriented Architecture Model-View-Controller(MVC)

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