A Comparative Performance of Real-time Big Data Analytic Architectures

2019 ◽  
Author(s):  
Apisit Sanla ◽  
Thanisa Numnonda
Keyword(s):  
Big Data ◽  
Real Time ◽  
Comparative Performance ◽  
Data Analytic

scholarly journals Design and Implementation of IoT-Big Data Analytic for Smart Environment Monitoring System

2018 ◽  
Author(s):  
Riyadh Arridha
Keyword(s):  
Big Data ◽  
Real Time ◽  
Monitoring System ◽  
Water Monitoring ◽  
Estimation Accuracy ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Real Time System ◽  
Analytical System ◽  
Data Analytic

Monitoring water conditions in real-time is a critical mission to preserve the water ecosystem in maritime and archipelagic countries, such as Indonesia that is relying on the wealth of water resources. To integrate the water monitoring system into the big data technology for real-time analysis, we have engaged in the ongoing project named SEMAR (Smart Environment Monitoring and Analytic in Real-time system), which provides the IoT-Big Data platform for water monitoring. However, SEMAR does not have an analytical system yet. This paper proposes the analytical system for water quality classification using Pollution Index method, which is an extension of SEMAR. Besides, the communication protocol is updated from REST to MQTT. Furthermore, the real-time user interface is implemented for visualisation. The evaluations confirmed that the data analytic function adopting the linear SVM and Decision Tree algorithms achieves more than 90% for the estimation accuracy with 0.019075 for the MSE. The processing time of the SEMAR system only takes an average 0.5 seconds to process the data to be visualized.

scholarly journals Classification Extension based on IoT-Big Data Analytic for Smart Environment Monitoring and Analytic in Real-time System

2018 ◽  
Author(s):  
Riyadh Arridha
Keyword(s):  
Big Data ◽  
Real Time ◽  
Water Monitoring ◽  
Estimation Accuracy ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Time System ◽  
Real Time System ◽  
Analytical System ◽  
Data Analytic

Monitoring water conditions in real-time is a critical mission to preserve the water ecosystem in maritime and archipelagic countries, such as Indonesia that is relying on the wealth of water resources. To integrate the water monitoring system into the big data technology for real-time analysis, we have engaged in the ongoing project named smart environment monitoring and analytic in real-time system (SEMAR), which provides the IoT-big data platform for water monitoring. However, SEMAR does not have an analytical system yet. This paper proposes the analytical system for water quality classification using Pollution Index method, which is an extension of SEMAR. Besides, the communication protocol is updated from REST to MQTT. Furthermore, the real-time user interface is implemented for visualisation. The evaluations confirmed that the data analytic function adopting the linear SVM and decision tree algorithms achieves more than 90% for the estimation accuracy with 0.019075 for the MSE.

A Review on Big Data Analytics in Business

2018 ◽  
pp. 210-214
Author(s):  
Manbir Sandhu ◽  
Purnima, Anuradha Saini
Keyword(s):  
Big Data ◽  
Big Data Analytics ◽  
Smart Devices ◽  
Data Streaming ◽  
Huge Amount ◽  
Business Units ◽  
Enormous Amount ◽  
Tools And Techniques ◽  
Heath Care ◽  
Data Analytic

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.

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