Big Data Management: A Case Study on Medical Data

In the era of big data, new information technologies introduced into the study of mining exploration to realize the wisdom prospecting has important significance. Based on 3S technology, 3D modeling and visualization technology, database technology and virtual reality technology, this paper studied the 3D integrated digital mine construction of big data era and presented a new concept of 3D visualization and data management integration modeling of digital mine. A case study of eastern Gejiu Sn-Cu deposit in Yunnan province of China achieved the integrated modeling of ground and underground, and also the multi-information integration and analysis of geology, geography, 2D and 3D. An integrated management platform was built in the application to integrate a variety of mine data organically, which provided support for mine production management, the deep prospecting practice and the comprehensive study and application of geological big data of mine.

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Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data

Al-Khwarizmi Engineering Journal ◽

10.22153/kej.2017.11.004 ◽

2017 ◽

Vol 13 (1) ◽

pp. 129-137

Author(s):

Sahar Mahdie Klim ◽

Sahar Mahdie Klim

Keyword(s):

Big Data ◽

Response Time ◽

Data Management ◽

Data Analytics ◽

Map Reduce ◽

Fast Method ◽

Traditional Methods

Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showed clear enhancement for managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG researchers and specialist with an easy and fast method of handling the EEG big data.

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Exploring the Big Data and Cloud Computing Management in E-Government Services: A Qualitative Case Study in Terengganu Public Sector

The Journal of Management Theory and Practice (JMTP) ◽

10.37231/jmtp.2020.2.3.172 ◽

2021 ◽

Vol 2 (3) ◽

pp. 24-27

Author(s):

Mariana Jusop ◽

Noor Fadzlina Mohd Fadhil ◽

Wan Izyani Adilah Wan Mohamad ◽

Nurul Huda Mustafa ◽

Noorhayati Mansor

Keyword(s):

Cloud Computing ◽

Big Data ◽

Public Sector ◽

Data Management ◽

Single Case ◽

Time Frame ◽

Accurate Information ◽

The Public ◽

Government Services

The emergence of big data has caused various challenges to data management lifecycle including storage, processing, sharing, and applications. During the same time frame, the fast development in cloud computing provides increased efficiency in computing support that address these challenges. However, there are issues in big data and cloud computing management which include security concerns, data fragmented, and distrust in using clouds that could become the roadblock to e-government services success. Although ensuring data management has been the responsibility of providers in the public sector, this issue seems to be unavoidable. In such circumstances, initiatives from the public sector agencies are crucial to ensure data is effectively managed. This research in progress aims to investigate how the public sector agencies in Terengganu manage data to improve the e-government performance. The research uses the interpretive research paradigm and adopts the qualitative research methodology using a case study design. A single case of a public sector which utilizes big data and cloud computing within the e-government platform is selected as the case for this research. The findings of this research are expected to be used in developing a framework of big data and cloud computing management which will assist in providing reliable and accurate information to citizens within the e-government environment.

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