Q. What is a key transformation in the context of stream-based joins?

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Q. Which factor contributes to a bottleneck in the execution of stream-based joins?

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Q. What is the main research challenge related to stream-based joins in the context of real-time data warehousing?

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Q. In real-time data warehousing, what is the typical purpose of stream-based joins in the ETL (extract-transform-load) layer?

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Q. What is the primary difference between traditional data warehousing and real-time data warehousing?

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Q. Which type of data sources are commonly involved in stream-based joins for real-time data warehousing?

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Q. What is the primary objective of the MESHJOIN algorithm?

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Q. In MESHJOIN, what serves as the build input for the hash join?

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Q. How does MESHJOIN handle the loading of disk-based relation segments?

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Q. What constraint ensures that a stream tuple in MESHJOIN is matched against the entire disk relation before expiring?

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Q. What is the key optimization in the MESHJOIN algorithm?

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Q. What is the main advantage of the MESHJOIN algorithm in terms of stream processing?

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Q. What issue does MESHJOIN face with regard to the access rate of disk pages?

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Q. How does the MESHJOIN algorithm handle intermittent or low arrival rate input streams?

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Q. What is the main disadvantage of the index nested loop join (INLJ) approach when joining stream S with disk-based relation R?

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Q. What is the key component used in the HYBRIDJOIN algorithm to store the values for join attributes?

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Q. What extra feature does the HYBRIDJOIN queue implement compared to the queue in MESHJOIN?

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Q. How does the hash table in HYBRIDJOIN help in matching disk pages with stream tuples?

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Q. What is the role of the stream buffer in HYBRIDJOIN?

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Q. How does HYBRIDJOIN handle disk invocations compared to MESHJOIN?

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