A Research on Big Data Mining with Hadoop F/W and It’s Echo Systems
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 10
Abstract
Nowadays, most of the information saved in companies are unstructured model. In fact, Big data is term refer to huge data sets, have high Velocity, high Volume and high Variety and complex. Due to characteristic of big data it becomes very difficult to Management, Analysis, Storage, Transport and processing the data using the existing traditional techniques. This paper introduces Big Data Analysis and storage, First we presents the Big data technology alongside it’s the significance of big data in the modern world and venture existing which are successful and essential in changing the idea of science into huge science and society as well. Following that, we present How fast Data is increasing and the important of Big Data. Analyzing Big Data is a challenging task as it involves large distributed file systems which should be fault tolerant, flexible and scalable. Map Reduce is widely been used for the efficient analysis of Big Data. 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 high-performance process, The new methods of hadoop and Its’ Echo systems are discussed from the data mining perspective.
Authors and Affiliations
Chiranjeevi. B, G. Sravan Kumar
Keywords
Related Articles
- EP ID EP22716
- DOI -
- Views 236
- Downloads 4
Numerical Modeling and Analysis of Hydro Turbine Draft Tube with Different Geometry Using Fluent
the efficiency of a hydraulic reaction turbine is significantly affected by the performance of its draft tube. The shape and velocity distribution at the inlet are, in next turn, two main factors that affects the perfor...
Secure Outsourced Comparison Scheme for Partitioned Databases
In different applications that uses cloud, studies a range of data analysis techniques. The most popular data analysis techniques were association rule mining and frequent itemset mining. In this paper we focus on outso...
Water Management Process and Factors Affecting It
A day will come where we won’t have availability of useful water. In that situation we need to have sufficient water in order to survive and for that we have few methods of making water reusable. Nowadays we are dealing...
Numerical solution of fractional-order logistic equations by fractional Euler’s method
In this article, fractional descriptions of logistic equations are solved by using fractional Euler's formula. The fractional derivative in this problem is in the Caputo sense. Special attention is focused on the stabil...
Implementation of Sub-Threshold Source Coupled Logic for Ultra-Low Power Application
This thesis work generally focuses on the use of sub-threshold source combined logic (STSCL) for building digital circuits and systems working at very low voltage and promise to provide desirable performance with excell...