Big Data Analytics: A Literature Review Paper. Big data and quality: A literature review Abstract: Big Data refers to data volumes in the range of Exabyte (10 18) and beyond. 167 Citations. Books and journals Case studies Expert Briefings Open Access. Our aim was to consolidate reported experience by documenting architectural choices and concerns, summarizing the lessons learned and provide insights to stakeholders and practitioners with respect to architectural choices for future deployment of big data systems. Introduction Healthcare plays an important role in our societies. email: darunachalam1@sheffield.ac.uk Niraj Kumar Sheffield University Management School, Conduit Road, Sheffield, S10 1FL. ally through an intensive literature review of pervasive healthcare and big data. Events; Blogs and Special Features; JDC Newsletter; Select Page. DOI: 10.5772/intechopen.86843. This thesis aims to present a literature review of work on big data analytics, a pertinent contemporary topic which has been of importance since 2010 as one of the top technologies suggested to solve multiple academic, industrial, and societal problems. Thus, the purpose of this study is to identify how BDA can help in cases of pandemics and epidemics. By identifying the main … The work presented here identifies gaps in the literature based on a systematic literature review of big data articles with a specific focus on financial management topics. Big data refers to datasets that … The systematic literature review helped to clarify each clusters’ content. Big data analytics in healthcare: a systematic literature review Sayantan Khanra a,b, Amandeep Dhir c,d,e, ... Big data provides support for the constantly changing nature of data by offering extensionality (the addition of new data fields) and scalability (expan-sion in size). Keywords: Big Data, Business Intelligence, systematic literature review, hospitality, tourism. The concept has generated a real buzz, especially on the Internet and social media. 58 Senthilkumar SA et al. See more; Journal of Strategic Information Systems (2017) 26(3) 191-209. Debating big data: A literature review on realizing value from big data. Given this potential value of big data to development, the review of literature outlined in Section 2 was undertaken and is reported next. Originality/value – To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities. The application of big data in health care is a fast-growing field, with many new discoveries and methodologies published in the last five years. Abstract. Paper type: Literature review 1 Introduction In recent years, the notion of “Big Data” (BD) has become increasingly popular in both academic and non-academic media. The AHP was used, and the experiment was done through the real-world use case. According to estimates the number of networked devices exceeded the number of people on the planet for the first time in 2011 World Economic Forum 2012, page 47). To this end, the present paper aims to provide a systematic literature review that can help to explain the mechanisms through which big data analytics (BDA) lead to competitive performance gains. In the biomedical informatics domain, big data is a new paradigm and an ecosystem that transforms case-based studies to large-scale, data-d riven research. Building upon the trend toward big data, the number of smart objects equipped with sensors and the capacity to communicate online is expanding at an exponential rate. Results for: Big Data. The proposed architec- ture details the nuts and bolts in the domain of big data and pervasive healthcare, which are developed by the identified research themes through the literature review. With characteristics like volume, velocity and variety big data throws challenges to the traditional IT establishments. A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018 - Author: Zeeshan Inamdar, Rakesh Raut, Vaibhav S. Narwane, Bhaskar Gardas, Balkrishna Narkhede, Muhittin Sagnak . : Big Data in Healthcare Management: A Review of Literature Figure 1. Nikhil Madaan, Umang Kumar, Suman Kr Jha, 2020, Big Data Analytics: A Literature Review Paper, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) ENCADEMS – 2020 (Volume 8 – Issue 10), Open Access ; Article Download / Views: 16. This paper might be the first attempt to present a comprehensive literature review on different types of big data in tourism research. Big data connects common fields to conjoin different sets. 2.2. JDC Literature Review. In this paper, we used systematic literature review method and in the first step, we obtained 15 351 articles; then, based on different filters, 48 related articles were attained. Literature Review. 2019 marked a key year in big data architectures, as organizations moved data into cloud repositories at unprecedented rates. Downloaded: 592. To improve the healthcare efficiency, accuracy and quality for people is a main goal set forth by both government and researchers. Add to library. Healthcare, big data, literature review, statistical analysis. Advanced search. John Paul Kawalek Sheffield University Management School, Conduit Road, … Exploring big data analytics capabilities for supply chain: a systematic literature review Deepak Arunachalam Sheffield University Management School, Conduit Road, Sheffield, S10 1FL. We have selected 23 articles based on the year of publication, the relevance of the journal, the completeness of the text, the nonrepeatability of the title, and the page number. Paper type: Literature review . The research framework is grounded on past empirical work on IT business value research, and builds on the resource-based view and dynamic capabilities view of the firm. Companies are clamoring to hire people with data science skills, and the excitement at data science events like the recent Strata conference in New York is palpable. Mendeley users who have this article in their library. Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model. This is achieved by seeking out important themes in the existing research and identify ing gaps that provide opportunities for further research . Citations of this article. literature with deploying big data systems in various domain applications, we con-ducted a systematic literature review. Günther W; Rezazade Mehrizi M; Huysman M; et al. 31, No. Authors; Authors and affiliations; Nada Elgendy; Ahmed Elragal; Conference paper. 355-382. Share. Keywords big data, literature review, health care, data-driven application. In particular, our review uses three major criteria (big-data business model types, dimensions, and deployment) to assess the state of the big-data business model literature and identify shortcomings in this literature. Authors : Nikhil Madaan, Umang … Big Data, as well as Big Data Analytics techniques, have been addressed in this context with the possibility of predicting, mapping, tracking, monitoring, and raising awareness about these epidemics and pandemics. Access as database; Access as PDF; Publications and Reports; Data Portals and Microdata Libraries; News and Events. 5, pp. Therefore, a comprehensive review on clustering algorithms of big data using Apache Spark is needed because it is conducted based on a scientific search strategy. Even at an early stage, diverse big data have been applied to tourism research and made an amazing improvement. The bibliometric analysis was integrated with a literature review.,The bibliometric analysis revealed four clusters of papers on big data and dynamic capabilities: big data and supply chain management, knowledge management, decision making, business process management and big data analytics. Conclusion: There are needs to increase the visibility of big data and data science research conducted by nurse scientists, further examine the use of state of the science in data analytics, and continue to expand the availability and use of a variety of scientific, governmental, and industry data resources. Big Data Analytics: A Literature Review Paper. Abstract: The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. The soaring popularity of S3 and other S3-based object stores continued to chip away at on-premise HDFS clusters, which began to look a bit long in the tooth this year. Home > Books > Social Media and Machine Learning. One thing that seems certain: Data Science is here to stay. The authors assess papers listed in the Web of Science index. By Iman Raeesi Vanani and Setareh Majidian. Download Full-Text PDF Cite this Publication. 78 Citations; 5 Mentions; 4.7k Downloads; Part of the Lecture Notes in Computer Science book series (LNCS, volume 8557) Abstract. Such volumes exceed the capacity of current on-line storage and processing systems. Companies and industries are faced with a huge amount of raw data, which have information … In addition, this work explains and analyses different analytic methods and tools that have been applied to big data. Keywords: Big Data, Business Intelligence, systematic literature review, hospitality, tourism. Manual exploratory literature reviews should be a thing of the past, as technology and development of machine learning methods have matured. making, business process management and big data analytics (BDA). In the information era, enormous amounts of data have become available on hand to decision makers. Literature Review on Big Data Analytics Methods. Abstract: Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. g) Valence (connectedness). 2 1 Introduction In recent years, the notion of “Big Data” (BD) has become increasingly popular in both academic and non-academic media. The 3Vs (volume, variety and velocity) are the three best-known defining dimensions of BD. Big data applications present new opportunities to discover new knowledge and create novel methods to improve the quality of health care. (2020). 1.3k Readers. DOI: 10.1016/j.jsis.2017.07.003. The concept has generated a real buzz, especially on the Internet and social media. Production Planning & Control: Vol. Background: What is Big Data? View PDF. Literature review of Big Data Analytics in external auditing During the last few years, researchers have produced an impressive amount of general reviews, conceptual and research papers in an attempt to define the concept of BD and Data Analytic tools. Spark remained a critical tool for data scientists and engineers in 2019. Literature review and application of comparison of the software architecture analysis method and existing big data reference architecture are found and compared. This section begins with a timeline showing the volume of BD literature over the last decade followed by a thematic classification of the literature and the geographic distribution of its application domains. Submitted: February 18th 2019 Reviewed: May 14th 2019 Published: October 24th 2019. Google trend of big data in healthcare between 2010 and 2015. The learning curve for using machine learning methods is rapidly declining, enabling new possibilities for all researchers. 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