The growing role of integrated and insightful big and real-time data analytics platforms

Indrakumari, R.; Poongodi, T.; Suresh, P.; Balamurugan, B.

doi:10.1016/bs.adcom.2019.09.009

Cited by 7 publications

(1 citation statement)

References 5 publications

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“…Hadoop Yarn [104] provides core computations for big data examination. The YARN and HDFS execute on a similar arrangement of nodes, allowing tasks to be analyzed on the nodes in which data related to COVID-19 identification is present.…”

Section: Big Data Query and Processing Layermentioning

confidence: 99%

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

et al. 2022

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The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities and has recently gained traction in the healthcare domain. The severely contagious respiratory syndrome coronavirus called COVID-19 has emerged as a severe threat to public health. COVID-19 is a highly infectious virus that is spread by person-to-person contact. Therefore, minimizing physical interactions between patients and medical healthcare workers is necessary. The significance of technology and its associated potential were fully explored and proven during the outbreak of COVID-19 in all domains of human life. Healthcare systems employ all modes of technology to facilitate the increasing number of COVID-19 patients. The need for remote healthcare was reemphasized, and many remote healthcare solutions were adopted. Various IoMT-based systems were proposed and implemented to support traditional healthcare systems with reaching the maximum number of people remotely. The objective of this research is twofold. First, a systematic literature review (SLR) is conducted to critically evaluate 76 articles on IoMT systems for different medical applications, especially for COVID-19 and other health sectors. Secondly, we briefly review IoMT frameworks and the role of IoMT-based technologies in COVID-19 and propose a framework, named ‘cov-AID’, that remotely monitors and diagnoses the disease. The proposed framework encompasses the benefits of IoMT sensors and extensive data analysis and prediction. Moreover, cov-AID also helps to identify COVID-19 outbreak regions and alerts people not to visit those locations to prevent the spread of infection. The cov-AID is a promising framework for dynamic patient monitoring, patient tracking, quick disease diagnosis, remote treatment, and prevention from spreading the virus to others. We also discuss potential challenges faced in adopting and applying big data technologies to combat COVID-19.

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Section: Big Data Query and Processing Layermentioning

confidence: 99%

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

et al. 2022

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Data Platform for a Data-Driven Tourism Organization. A Conceptual Architecture

Vidal-Gil,

Carrasco-González,

Blasco-López

2024

Springer Proceedings in Business and Economics

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The tourism sector is one of the sectors that has undergone most changes in recent years due to digital transformation. One of the pillars of this transformation is the management of organizations based on data-driven decision making. The raw material for these data-driven strategies is, of course, the sources of information used, which have changed and grown significantly in recent years. This article attempts to provide a conceptual architecture for a modern data platform that effectively manages and analyses these information sources and facilitates data-driven decision-making in tourism organizations.

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Data Warehouse Modernization Using Document-Oriented ETL Framework for Real Time Analytics

Patel

2022

Rising Threats in Expert Applications and Solutions

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The growing role of integrated and insightful big and real-time data analytics platforms

Cited by 7 publications

References 5 publications

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

Data Platform for a Data-Driven Tourism Organization. A Conceptual Architecture

Data Warehouse Modernization Using Document-Oriented ETL Framework for Real Time Analytics

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