Big Data Analytics: Characteristics, Challenges, Techniques and Business Support

BSc (Hons) Business Management
BMP4005
Information Systems and Big Data
Analysis
Poster and Accompanying Paper
Submitted by
Student Name:
ID:
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Contents
Introduction p
Characteristics of big data p
The challenges of big data analytics p
Techniques currently available to analys big data p
How Big Data technology could support business p
Poster p
References p
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Introduction
Big data may be defined as the collection of the data which is very huge in
numbers and yet growing day by day exponentially with the increase in time. This
data is very large in size and very complex in nature that none of the traditional data
management tool can store or process it in proper manner. With the help of this
performance can be enhanced and along with this all the unrealized opportunities
can be effectively identify which are present in the industry(Haoxiang and Smys,
2021). The whole report is based on the bid data analytic. Meaning of the big data
along with its characteristic has been discussed in this report. This report also
discuss about the challenges of the big data analytic along with the techniques
currently available to the analysis of the big data. In the end this report focus on the
big data technologies give assistance to the business organization with proper
explanation and example.
Characteristics of big data
The term big data may be referred to as those data which is organized or
unorganized and based on the valuable collection data. The data can be collected
from client, server or form the transaction like sales, purchase, history of employee
and many more. The information which is collected from the different sources not
only assist the management of the company in enhancing its structure but also help
them in making as well as taking the effective decision. Example of Bid data are
New York Stock Exchange, social media site Facebook and many more. There are
different kinds of characteristic which is associated with the big data form which
some of them discussed below: -
 Volume: - this is basically the size which is being considered as the most
prominent feature of any data set. The data has been stored in the big data
system in the range of petabytes and the exabytes(Grant, 2021). These
amount of massive data are used in the advanced processing technologies.
Instagram or Twitter are the example of massive volume of data set. Lots of
time is spend by the individual on the posting pictures, commenting, liking
posts, playing games, etc. With the help of these data analysis and findings
can be done very potentially.
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