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Rahman, 2024 - Google Patents

Boosting hive efficiency: a novel dual-process architecture for asynchronous and parallel data loading

Rahman, 2024

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Document ID
8016847501461474694
Author
Rahman M
Publication year

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Snippet

The efficiency of data loading processes in Hive, a critical component of modern big data ecosystems, is often hindered by sequential bottlenecks that limit overall performance. This thesis proposes a novel asynchronous and parallel data loading architecture designed to …
Continue reading at dspace.bracu.ac.bd:8443 (PDF) (other versions)

Classifications

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    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30477—Query execution
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    • G06F17/30489—Aggregation and duplicate elimination
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