Research Paper About Big Data
CHAPTER 1
INTRODUCTION
1. Introduction
Big data is defined as large quantity of data which have need of new technologies and architecture to make possible to extort value from it by capturing and analysis process. New sources of big data include location specific data which has arrived from traffic management and from the tracking of personal devices such as Smartphone’s [1]. Big data has come into view because we are living in the world which makes mounting use of data intensive technologies. Due to such large size of data it becomes very difficult to achieve effective analysis using existing traditional techniques.
Since Big data is new upcoming technology in the market which can bring the huge benefits to the business organizations,
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Some Big data examples such as data from Finance, Internet, Mobile device, Radio – Frequency Identification (RFID), Science, Sensor and Streaming are the top most seven data drivers.
As we know that Big data terms to massively large, diverse, noisy and partial data sets gathered from a variety of sources.
However big data need to handle by specific tool that give efficient result of any query. The researchers are still working on various features of big data and its handling tools; they specified that big data is the data that we are not able to deal with using suitable technology, approach and theory. As per many organizations it put forward challenges for data management and analysis, and also for the entire IT industry [6].
As discussed about the Big data that is the collection of confide data.
For example:
i) 200 of London's Traffic Cams could gather 8 TB of data per day. ii)1 day of Instant Messaging in 2002 expend 750 GB of Data. iii)Annual Email Traffic without spams consume 300PB+ of Data. iv)In 2004 Wal-Mart Transaction DB holds 200 TB of
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