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Mbaiossoum et al., 2023 - Google Patents

Database Tuning from Relational Database to Big Data

Mbaiossoum et al., 2023

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Document ID
4300824189681983198
Author
Mbaiossoum B
Bellatreche L
Batouma N
Daouda A
Publication year
Publication venue
Int. J. Eng. Trends Technol

External Links

Snippet

The objective of this work is to present the database tuning from relational databases to Big Data. It revisits the tools of the physical design. It examines their applicability to the main types of databases, in particular legacy (hierarchical or network), relational, object-oriented …
Continue reading at www.researchgate.net (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
    • G06F17/30442—Query optimisation
    • G06F17/30448—Query rewriting and transformation
    • G06F17/30451—Query rewriting and transformation of sub-queries or views
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