Analysis of Bigdata Representation and Storage Performance in a Smart Healthcare Environment

Internet of Things (IoT) is crucial for improving human health, safety, and treatment. Due to its traits, big data has grown more rapidly over time. Data centres and high-performance data processing dramatically advance with big data applications. Healthcare analytics are used to gather and analyze data from the healthcare sector to provide insight and inform decisions. An individual who uses data analytics to improve healthcare outcomes is known as a health care data analyst. To make it easier to access the data on the server, numerous storage techniques were developed. However, current storing methods did not reduce the complexity of the space or raise the accuracy level. Different data storage techniques in big data are discussed to address these issues.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-04
DOI
https://doi.org/10.52783/jisem.v10i15s.2463
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
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article

Analysis of Bigdata Representation and Storage Performance in a Smart Healthcare Environment

S. Sasirekha T. Kalai Selvi
Journal of Information Systems Engineering & Management
Technology and Data Analysis
article

Analysis of Bigdata Representation and Storage Performance in a Smart Healthcare Environment

S. Sasirekha T. Kalai Selvi
article en

Abstract

Internet of Things (IoT) is crucial for improving human health, safety, and treatment. Due to its traits, big data has grown more rapidly over time. Data centres and high-performance data processing dramatically advance with big data applications. Healthcare analytics are used to gather and analyze data from the healthcare sector to provide insight and inform decisions. An individual who uses data analytics to improve healthcare outcomes is known as a health care data analyst. To make it easier to access the data on the server, numerous storage techniques were developed. However, current storing methods did not reduce the complexity of the space or raise the accuracy level. Different data storage techniques in big data are discussed to address these issues.

Journal of Information Systems Engineering & ManagementVol. 10(15s)
Openalex Percentile: Top 95%
Technology and Data Analysis
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