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Zhao et al., 2020 - Google Patents

Efficient join synopsis maintenance for data warehouse

Zhao et al., 2020

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Document ID
11277712082057069517
Author
Zhao Z
Li F
Liu Y
Publication year
Publication venue
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data

External Links

Snippet

Various sources such as daily business operations and sensors from different IoT applications constantly generate a lot of data. They are often loaded into a data warehouse system to perform complex analysis over. It, however, can be extremely costly if the query …
Continue reading at users.cs.utah.edu (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30477—Query execution
    • G06F17/30483—Query execution of query operations
    • G06F17/30486—Unary operations; data partitioning operations
    • G06F17/30489—Aggregation and duplicate elimination
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    • G—PHYSICS
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    • G06F17/30507—Applying rules; deductive queries
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    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
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