Session

Computer Science and Communication Engineering

Description

Identified as the tendency of IT, Big Data gained global attention. Advances in data analytics are changing the way businesses compete, enabling them to make faster and better decisions based on real-time analysis. Big Data introduces a new set of challenges. Three characteristics define Big Data: volume, variety, and velocity. Big Data requires tools and methods that can be applied to analyze and extract patterns from large-scale data. Companies generate enormous volumes of polystructured data from Web, social network posts, sensors, mobile devices, emails, and many other sources. Companies need a cost-effective, massively scalable solution for capturing, storing, and analyzing this data. They also need to be able to integrate their Big Data into their real-time analytics environment to maximize business value. Big Data was seen as a mean to manage and to reduce the costs of data management. In this paper we discuss definition, characteristics, challenges, techniques for analyzing Big Data and the importance of Big Data. The main importance of Big Data consists in the potential to improve efficiency in the context of use a large volume of data, of different type. Big Data enables companies to create new products and services, and invent entirely new business models. A case study will be present to demonstrate the potential of Big Data Analytics: Oracle Application in Social Insurance. We conclude this paper that through better analysis of the large volumes of data that are becoming available, there is the potential for making faster advances in many scientific disciplines and improving the profitability and success of many enterprises.

Keywords:

Big Data, Data Analytics, Challenges, Techniques, Oracle

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-14-7

First Page

59

Last Page

63

Location

Durres, Albania

Start Date

7-11-2015 9:00 AM

End Date

7-11-2015 5:00 PM

DOI

10.33107/ubt-ic.2015.89

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Nov 7th, 9:00 AM Nov 7th, 5:00 PM

The Importance of Big Data Analytics

Durres, Albania

Identified as the tendency of IT, Big Data gained global attention. Advances in data analytics are changing the way businesses compete, enabling them to make faster and better decisions based on real-time analysis. Big Data introduces a new set of challenges. Three characteristics define Big Data: volume, variety, and velocity. Big Data requires tools and methods that can be applied to analyze and extract patterns from large-scale data. Companies generate enormous volumes of polystructured data from Web, social network posts, sensors, mobile devices, emails, and many other sources. Companies need a cost-effective, massively scalable solution for capturing, storing, and analyzing this data. They also need to be able to integrate their Big Data into their real-time analytics environment to maximize business value. Big Data was seen as a mean to manage and to reduce the costs of data management. In this paper we discuss definition, characteristics, challenges, techniques for analyzing Big Data and the importance of Big Data. The main importance of Big Data consists in the potential to improve efficiency in the context of use a large volume of data, of different type. Big Data enables companies to create new products and services, and invent entirely new business models. A case study will be present to demonstrate the potential of Big Data Analytics: Oracle Application in Social Insurance. We conclude this paper that through better analysis of the large volumes of data that are becoming available, there is the potential for making faster advances in many scientific disciplines and improving the profitability and success of many enterprises.