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Accounting &Finance, Volume 65, Issue 3, Page 2649-2664, September 2025.ABSTRACT Using survey research, we investigate accountants' self‐rated knowledge of a variety of digital technologies (DTs). We find that accountants' self‐rated knowledge of established DTs is almost in line with IES2 requirements, but their self‐rated knowledge of emerging DTs is significantly below IES2 requirements. Of greater concern, we find that
Richard Busulwa +3 more
wiley +1 more source
Research on application of Hadoop in personnel positioning software system
Gong-kuang zidonghua, 2017 In order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce ...
WANG Wei
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Smart Healthcare: The Role of Digital Health in Modern Medicine
Health Care Science, Volume 4, Issue 3, Page 179-187, June 2025.Implementation of Digital Health. Innovations in Digital Health. Challenges in Digital Health. ABSTRACT Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible, efficient, and personalized. From electronic health records, telemedicine, wearable devices, and artificial intelligence to the recent ...
Nidha Shapoo +3 more
wiley +1 more source
Real-time Twitter data analysis using Hadoop ecosystem
Cogent Engineering, 2018 In the era of the Internet, social media has become an integral part of modern society. People use social media to share their opinions and to have an up-to-date knowledge about the current trends on a daily basis.
Anisha P. Rodrigues +1 more
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Вестник университета, 2018 The results of the study of the application of the Big Data technologies in calculating the consumer price index (CPI) has been presented. The object of the study is the state institution «Federal State Statistics Service» (ROSSTAT), the subject of the ...
A. Mikhajlova
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A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem
Big Data Mining and Analytics, 2019 Big data analytics and data mining are techniques used to analyze data and to extract hidden information. Traditional approaches to analysis and extraction do not work well for big data because this data is complex and of very high volume.
Sunil Kumar, Maninder Singh
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大数据在现有大规模分布式环境中，大数据应用的性能与计算效率仍有较大的提升空间。然而，在大规模环境中进行性能分析与优化需要大量领域专家。针对大数据应用中的性能优化问题，提出了一个通用的低效查询语句检测与优化流程，总结了4类显著影响大数据应用性能的低效行为，并针对每一类低效行为，提出了具体的优化策略。最后，通过实验评估验证了提出的优化方案在实际大规模集群中的有效性。
王冀彬, 杨海龙, 冯凯, 孙欣, 张敏达, 雷克伦, 肖智文, 张逸飞, 吴佳熙
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Research on Advanced Streaming Processing on Apache Spark
International Journal of Industrial Engineering and Production Research, 2021 The Today’s digital world computations are tremendously difficult and always demands for essential requirements to significantly process and store enormous size of datasets for wide variety of applications.
A.K.V.K Sasikanthr +4 more
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A Survey on Job Scheduling in Big Data
Cybernetics and Information Technologies, 2016 Big Data Applications with Scheduling becomes an active research area in last three years. The Hadoop framework becomes very popular and most used frameworks in a distributed data processing.
Senthilkumar M., Ilango P.
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Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE
Journal of Applied Informatics and ComputingIn today’s rapidly evolving information technology landscape, managing and analyzing big data has become one of the most significant challenges. This paper explores the implementation of two major frameworks for big data processing: Hadoop MapReduce and ...
Firmania Dwi Utami, Femi Dwi Astuti
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