Q. Why is data aggregation and summarization important in the context of smart buildings?

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Q. What characterizes the data generated in a smart building, particularly in terms of data granularity and cardinality?

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Q. What is the primary advantage of using complex event processing (CEP) in addressing Big Data issues in the context of smart buildings?

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Q. What is a significant challenge in adopting CEP engines for smart buildings?

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Q. Why are direct CEP queries often unsuited for industrial or large-scale settings in smart buildings?

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Q. What is the primary goal of the spChains Big Data elaboration framework in the context of smart buildings?

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Q. How does the spChains framework address the need for reusable and modular processing in smart buildings?

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Q. What is the primary goal of the pipes-and-filters design pattern?

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Q. What is the primary function of each filter in the pipes-and-filters pattern?

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Q. How are filters connected in the pipes-and-filters pattern?

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Q. What is one well-known implementation of the pipes-and-filters pattern?

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Q. What does CEP (Complex Event Processing) involve?

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Q. What is an event stream in the context of Complex Event Processing (CEP)?

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Q. How are events defined in the spChains framework?

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Q. What is the primary purpose of CEP operators (queries)?

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Q. What are time windows in the context of CEP?

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Q. What are the two most important variants of time windows in CEP?

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Q. What is the primary purpose of moving windows in Complex Event Processing (CEP)?

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Q. What is the primary characteristic of batch windows in CEP?

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Q. What are the typical representations of input and output in Complex Event Processing (CEP) queries?

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