A survey of data partitioning and sampling methods to support big data analysis

Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two fundamental strategies to speed up the computation of big data and increase scalability. In this paper, we prese...

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Bibliographic Details
Published in:Big Data Mining and Analytics 2020-06, Vol.3 (2), p.85-101
Main Authors: Mahmud, Mohammad Sultan, Huang, Joshua Zhexue, Salloum, Salman, Emara, Tamer Z., Sadatdiynov, Kuanishbay
Format: Article
Language:English
Subjects:
approximate computing
Big Data
big data analysis
Cluster analysis
Computation
Data analysis
data partitioning
Data processing
Data sampling
distributed and parallel computing
Partitioning
Random sampling
Sampling methods
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