Big data-analysis, map reduced framework, security & privacy challenges and techniques in health sector

被引：0
作者：
Sarkar R. [1 ]
Telugu M. [1 ]
Kuntla N. [1 ]
机构：
[1] VIT-AP University, Andhra Pradesh, Amaravati
来源：
EAI Endorsed Transactions on Pervasive Health and Technology | 2023年 / 9卷
关键词：
Big Data; Data Analytics; Map Reduced Framework; Privacy; Security;
D O I：
10.4108/eetpht.9.4292
中图分类号：
学科分类号：
摘要：
INTRODUCTION: Data is increasing exponentially. Data processing is an essential component in all industries, including health care. Even though a lot of progress has been made, it has been noted that in the recent decade, the health industry is capable of efficiently utilizing data and providing perfect Advancements in therapies. OBJECTIVES: the main objectives include of finding the right problems in the security systems and to review the methods of present data processing methods. METHODS: Methods involved are Quantitive analysis, Descriptive analysis, Data cleaning and Extraction. RESULTS: The outputs of the reduce function are combined across all reducer nodes to produce the final output. CONCLUSION: Big data analytics has enormous potential to accelerate the health care industry and that can only be done with some innovative methods and security plays a crucial role and can be a good catalyst in the user experience Elements. © 2023 R. Sarkar et al.
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