Data Mining: Exploring Big Data Analytics, Hadoop and Mapreduce
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 8
Abstract
Most internal auditors, especially those working in customer-focused industries, are aware of data mining and what it can do for an organization — reduce the cost of acquiring new customers and improve the sales rate of new products and services. However, whether you are a beginner internal auditor or a seasoned veteran looking for a refresher, gaining a clear understanding of what data mining does and the different data mining tools and techniques available for use can improve audit activities and business operations across the board. The tremendous opportunities to gain new and exciting value from big data are compelling for most organizations, but the challenge of managing and transforming it into insights requires a new approach to analytics that has a far reaching impact on IT infrastructure. Traditional systems are unable to cope cost-effectively—if at all— with new dynamic data sources and multiple contexts for big data. Emerging technologies such as the Hadoop* framework represent completely new approaches to capturing, managing, and analyzing big data. Big data challenges plus new technologies are causing a paradigm shift that is driving organizations to reexamine their IT infrastructure and analytics capabilities. With the fast growth of networks now-a-days organizations has filled with the collection of millions of data with large number of combinations. This big data challenges over business problems. It requires more analysis for the highperformance process. The new methods of hadoop and MapReduce methods are discussed from the data mining perspective.
Authors and Affiliations
Ms. Rupali Chikhale
Keywords
Related Articles
- EP ID EP117035
- DOI -
- Views 84
- Downloads 0
Palm Biometrics: Testimony of Security
Now a days, whenever we think of developing a system or software, the first thing that comes in one’s mind is Security. We always think whether the given system is secure enough to use or not? This question arises...
INDUSTRIAL MACHINE AND PRODUCTIVITY OF AUTOMATED LINES
The contribution of this paper is the development of analytical equations for calculation of the availability of a machine and its productivity as a function of standard indices of reliability and technical parame...
Automated LPG Billing and Security System Using Wireless Sensor Networks
Wireless Sensor Networks are networks consisting of sensors as their main components. Sensors are arranged and connected with each other dynamically. We are implementing a system which can remotely monitor and co...
Performance Characteristics of the R404A Indirect Refrigeration System Using CO2 as a Secondary Refrigerant
In this study, to investigate the performance characteristics of the R404A indirect refrigeration system using CO2 as a secondary refrigerant, the R404A refrigeration system was analyzed experimentally. Under give...
SOLVING FUZZY DIFFERENTIAL EQUATIONS USING RUNGE-KUTTA FOURTH ORDER GILL METHOD
In this paper, a numerical solution for the first order fuzzy differential equations by using fourth order Runge-kutta Gill method is considered.The applicability and accuracy of the proposed method has been demon...