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Results also prove that the method has a significant theoretical and practical value for big data processing of smart substation.
3) Parallel compression experiments verify that with the data records increase in a certain range, the cluster has a better parallel processing efficiency, and S′(m,n)(p) and C (m,n)(p) of cloud cluster further prove that big data processing of smart substation based on Hive is feasible. .
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The cloud enables parallel computing that is essential for the big data processing, machine learning and smart algorithms that enable 'data-driven' business.
Aiming at the existing processing shortages in the big data processing, the query and analysis of smart substation, a data compression processing method is proposed for analyzing smart substation and Hive.
Cloud-based big data platforms are being widely adopted in industry, due to their advantages of facilitating the implementation of big data processing and enabling elastic service frameworks.
"But much of big data processing is still pretty raw.
Thus, this 'V' is excessively unique, as it represents the required outcomes of big data processing.
Therefore, to handle such an enormous amount of data, various big data processing techniques are required.
Seeking the wisdom of the crowd for such Big Data processing has proved extremely beneficial.
Fig. 3 Hierarchical framework of efficient machine learning for big data processing.
In [11], Wu et al. characterized the features of the big data revolution and proposed big data processing methods with machine learning and data mining algorithms.
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