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3. Megadata storage and management
In this section, we look at the problem of storing very large volumes of data for analysis. First, we point out the limitations of relational databases and discuss the benefits of cloud computing. We then highlight the advantages for data storage and management of the MapReduce parallel programming model, and of the free quadric, Hadoop, which implements it. Next, we introduce the various NoSQL database models, representing different solutions for storing megadata. Finally, we look at a few alternatives, including NewSQL databases.
3.1 Relational databases
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Megadata storage and management
Megadata analysis
Bibliography
- (1) - TAYLOR (P.) - Volume of data/information created, captured, copied, and consumed worldwide from 2010 to 2020, with forecasts from 2021 to 2025. Statista, Nov 2023. https://www.statista.com/statistics/871513/worldwide-data-created/ ...
Websites
Mahout https://mahout.apache.org
BERTopic https://maartengr.github.io/BERTopic
Gargantext https://gargantext.org
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