让大数据分析更可信

doi:10.11959/j.issn.2096-0271.2017017

Abstract

Abstract:

Big data is playing an increasingly important role in various areas of academia and industry.However，whether big data can be trusted has caused widespread concern and intense discussion among countless researchers.The credibility of big data from the historical evolution of big data names，case studies of big data applications and big data engineering was explored，and thus the three challenges needed to be addressed to ensure the correctness of big data analysis were concluded:the right choice of data source，the scientific sampling of representative and valuable data，the rigorous and complete big data engineering analysis method.

Key words: big data, data warehouse, massive data, big data engineering

CLC Number:

TP391

Tengjiao WANG, Xilian LI. Making big data analysis more credible[J]. Big Data Research, 2017, 3(2): 31-37.

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Making big data analysis more credible

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