Beyond Simple Integration of RDBMS and MapReduce -- Paving the Way toward a Unified System for Big Data Analytics: Vision and Progress

2020 ◽

pp. 160-178

Author(s):

Arulkumar Varatharajan ◽

Selvan C. ◽

Vimalkumar Varatharajan

Keyword(s):

Big Data ◽

Data Analytics ◽

Human Services ◽

Big Data Analytics ◽

Healthcare Industry ◽

Multimodal Data ◽

Design Structure ◽

Costs Of Treatment ◽

The Way

Big Data has changed the way we manage, analyze and impact the data information in any industry. A champion among the most promising zones where it will, in general, be associated with takeoff progress is therapeutic medicinal administrations. Administration examinations can diminish costs of treatment, foresee flare-ups of pestilences, keep up a key separation from preventable diseases and improve individual fulfillment overall. The chapter depicts the beginning field of a huge information investigation in human services, talks about the advantages, diagrams a design structure and approach, portrays models revealed in the writing, quickly examines the difficulties, and offers ends. A continuous examination which targets the utilization of tremendous volumes of remedial data information while combining multimodal data information from various sources is discussed. Potential locales of research inside this field which can give noteworthy impact on medicinal administrations movement are in like manner dissected.

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Digital Service Innovation Enabled by Big Data Analytics - A Review and the Way Forward

Proceedings of the 50th Hawaii International Conference on System Sciences (2017) ◽

10.24251/hicss.2017.149 ◽

2017 ◽

Cited By ~ 4

Author(s):

Aya Rizk ◽

Birgitta Bergvall-Kåreborn ◽

Ahmed Elragal

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Service Innovation ◽

Digital Service ◽

The Way

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WITSML v2.0: Paving the Way for Big Data Analytics Through Improved Data Assurance and Data Organization

10.2118/181096-ms ◽

2016 ◽

Cited By ~ 2

Author(s):

Yash Gidh ◽

Nigel Deeks ◽

Lars Olav Grovik ◽

David Johnson ◽

Sethupathi Arumugam ◽

...

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Data Organization ◽

The Way

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A Framework for Effective Data Analytics for Tourism Sector

10.4018/978-1-6684-3662-2.ch023 ◽

2022 ◽

pp. 483-496

Author(s):

Sapna Sinha ◽

Vishal Bhatnagar ◽

Abhay Bansal

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

It Infrastructure ◽

Technological Revolution ◽

Competitive Edge ◽

Tourism Sector ◽

Tools And Techniques ◽

The Way

From BRICS nations, India is the second largest tourism market after China in Asia. Technological revolution has added new dimensions to the way technologies being used in all the sectors. Also, the use of electronic gadgets leaves trail of data, which is very huge in size, this data (Big Data) is exploited by every sector for providing better services and gaining competitive edge. This trend grabbed the attention of researchers and industry for development of more optimized tools and techniques. There are many general frameworks proposed by industry and researchers for implementation of Big Data in industry but, there is no framework proposed for tourism sector. In this paper, the authors propose unified IT infrastructure framework named as tAdvisor for effective data analytics using Big Data Analytics approach for increasing productivity in tourism sector. Various challenges and issues related with the implementation of Big Data Analytics is also discussed in the paper.

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A review on Data Mining & Big Data Analytics

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.24.21863 ◽

2018 ◽

Vol 7 (4.24) ◽

pp. 92

Author(s):

Yashasree Tummala ◽

Dr. Hemantha Kumar Kalluri

Keyword(s):

Data Mining ◽

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

The Way

The time of enormous information is presently progressing. Be that as it may, the customary information investigation will most likely be unable to wrench such huge amounts of information. The inquiry that emerges now is, the way to build up an elite stage to effectively examine huge information and how to plan a suitable mining calculation to locate the helpful things from enormous information. To profoundly talk about this issue, this paper starts with a concise prologue to information investigation, trailed by the exchanges of enormous information examination.

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A Framework for Effective Data Analytics for Tourism Sector

International Journal of Grid and High Performance Computing ◽

10.4018/ijghpc.2017100106 ◽

2017 ◽

Vol 9 (4) ◽

pp. 92-104 ◽

Cited By ~ 3

Author(s):

Sapna Sinha ◽

Vishal Bhatnagar ◽

Abhay Bansal

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

It Infrastructure ◽

Technological Revolution ◽

Competitive Edge ◽

Tourism Sector ◽

Tools And Techniques ◽

The Way

From BRICS nations, India is the second largest tourism market after China in Asia. Technological revolution has added new dimensions to the way technologies being used in all the sectors. Also, the use of electronic gadgets leaves trail of data, which is very huge in size, this data (Big Data) is exploited by every sector for providing better services and gaining competitive edge. This trend grabbed the attention of researchers and industry for development of more optimized tools and techniques. There are many general frameworks proposed by industry and researchers for implementation of Big Data in industry but, there is no framework proposed for tourism sector. In this paper, the authors propose unified IT infrastructure framework named as tAdvisor for effective data analytics using Big Data Analytics approach for increasing productivity in tourism sector. Various challenges and issues related with the implementation of Big Data Analytics is also discussed in the paper.

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Big Data Analytics

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques - Advances in Data Mining and Database Management ◽

10.4018/978-1-5225-5137-9.ch002 ◽

2019 ◽

pp. 24-52

Author(s):

Iman Raeesi Vanani ◽

Faezeh Mohammadipour

Keyword(s):

Decision Making ◽

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Unstructured Data ◽

Distinct Advantage ◽

Mobile Data ◽

Main Challenge ◽

Change Leaders ◽

The Way

The idea that we can get value from data has been discussed, but the main challenge is to use data effectively in order to facilitate smarter and better decision making and surpass our competitors. The change leaders in organization are now dealing with big data from both within and outside the enterprise, including structured and unstructured data, machine data, online and mobile data to supplement their organizational data pool and provide and facilitate the way through which the businesses can compete and operate successfully. Companies that invest in big data can have a distinct advantage over their competitors. Therefore, in this chapter, the concepts of big data analytics along with the relevant description of different categorization, capabilities, challenges are firstly explained, and then big data analytics techniques and methods are introduced and discussed to make the readers familiar with the way big data is applied in the enterprises.

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Big Data Analytics: The Next Big Thing

The Management Accountant Journal ◽

10.33516/maj.v54i5.20-24p ◽

2019 ◽

Vol 54 (5) ◽

pp. 20

Author(s):

Dheeraj Kumar Pradhan

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics

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Strategy in Discovery Mode - Wie Big Data & Analytics strategisches Denken verdrängen kann

WiSt - Wirtschaftswissenschaftliches Studium ◽

10.15358/0340-1650-2020-5-11 ◽

2020 ◽

Vol 49 (5) ◽

pp. 11-17

Author(s):

Thomas Wrona ◽

Pauline Reinecke

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics

Big Data & Analytics (BDA) ist zu einer kaum hinterfragten Institution für Effizienz und Wettbewerbsvorteil von Unternehmen geworden. Zu viele prominente Beispiele, wie der Erfolg von Google oder Amazon, scheinen die Bedeutung zu bestätigen, die Daten und Algorithmen zur Erlangung von langfristigen Wettbewerbsvorteilen zukommt. Sowohl die Praxis als auch die Wissenschaft scheinen geradezu euphorisch auf den „Datenzug“ aufzuspringen. Wenn Risiken thematisiert werden, dann handelt es sich meist um ethische Fragen. Dabei wird häufig übersehen, dass die diskutierten Vorteile sich primär aus einer operativen Effizienzperspektive ergeben. Strategische Wirkungen werden allenfalls in Bezug auf Geschäftsmodellinnovationen diskutiert, deren tatsächlicher Innovationsgrad noch zu beurteilen ist. Im Folgenden soll gezeigt werden, dass durch BDA zwar Wettbewerbsvorteile erzeugt werden können, dass aber hiermit auch große strategische Risiken verbunden sind, die derzeit kaum beachtet werden.

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