logo

BMP4005 Information Systems and Big Data Analysis Assessment 1

   

Added on  2023-06-18

8 Pages1847 Words153 Views
INFORMATION SYSTEMS
AND BIG DATA ANALYSIS

TABLE OF CONTENTS
Introduction......................................................................................................................................1
What big data is and the characteristics of big data.........................................................................1
The challenges of big data analytics................................................................................................1
The techniques that are currently available to analyse big data......................................................2
How Big Data technology could support business, an explanation with examples........................3
Poster...............................................................................................................................................5
REFERENCES................................................................................................................................6

Introduction
Big data is a kind of data that contains greater variety, arrives in increasing volume as well
as with more velocity. Big data has been in use since 1990s. however there is no clarity about
who used this term for the first time buy most commonly Jhon R. Mashey is given credit for this.
In last few years overall volume of data which is being used and generated has increased and is
mostly used for decision making process because of which big data has come into picture.
What big data is and the characteristics of big data
What is big data
Big data is an extremely large dataset which is analysed conceptually for revelling
patterns, associations, trends identification etc. In other words, it is a large, complex data set
from varied sources that are stored at a single place. These data sets are of so large quantity that
they cannot be managed by traditional data processing software’s.
Characteristics of big data
Volume, variety and velocity are some of the main characteristics of big data that together helps
in defining what big data is. All the three characters are as follows:
Volume: today high volume of data is being stored exponentially. Today unlimited amount of
data is being created, analysed and stored. It is one of the main characteristics of big data
which is required by organizations. It is useful for organizations such as banks as it directly
helps in storing different kinds of data of customers safely and securely.
Variety: when large volume of data is being stored, it being one of the main challenges
associated with it which is storage of variety of data. it is another main characteristic of big
data. big data provide a feature of storing large and different variety of data or information
together. It is an important feature or characteristic of big data which is required by
enterprises so that they can store all variety of data together.
Velocity: it is another characteristic of big data i.e., all the variety of large volume data which
is generated at high velocity need to be handled. Big data helps in accommodating large
velocity of data together in an appropriate manner.
The challenges of big data analytics
There are many different kinds of challenges that are associated with big data analytics.
Some of the main challenges of big data analytics have been explained below in detailed manner:
1

End of preview

Want to access all the pages? Upload your documents or become a member.

Related Documents
Big Data Analysis: History, Challenges, Techniques, Characteristics and Business Support
|1
|336
|312

Information Systems and Big Data Analysis for BSc (Hons) Business Management
|8
|2553
|356

Big Data: Characteristics, Challenges, Techniques and Business Support
|8
|1878
|391

Big Data Analytics in Business Management: Challenges, Techniques, and Applications
|9
|1842
|190

Information Systems and Big Data Analysis
|8
|2053
|436

Big Data: Characteristics, Challenges, and Applications for Business
|8
|1870
|389