Data Modeling and Performance Analysis Approach of Big Data

Abstract

In this modern and information technology based digital world the user generate and create more than 1.5 Zettabytes of data over internet everyday intentionally or automatically. In various research fields including data analysis, cloud computing, engineering, artificial intelligence, and others, the big data plays very important role. This paper introduced multiple techniques of data modeling which could have one or more modeling tools, that helps to measure performance analysis. The key challenges in Big Data are when where and how to apply the data modeling and performance analysis approach of Big data in order to conclude the core aspect that used to obtain high value processing outcome in less computing time and expenditure. Sometimes, the available processing model is not able to believe in this requisite and try to focus on achieving high computation performance, which will enlarge the computing time and cost. The performance measurement analysis outcomes are very useful because they help to identify the sources of degradation of application as well as cloud. The main objective of this paper is to cover the drawbacks that exist between quantitative representations of quality concepts of software engineering and performance analysis approach.