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Information Systems and Big Data Analysis - A1 Big Data

   

Added on  2023-06-08

8 Pages1838 Words198 Views
Data Science and Big DataArtificial Intelligence
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Information Systems
and Big Data Analysis
- A1 Big Data
Information Systems and Big Data Analysis - A1 Big Data_1

Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Define big data and its attributes.................................................................................................3
Discuss the challenges faced in big data and the techniques used for solving these issues........4
Explain Big Data Technology Supporting Businesses with certain examples............................5
Poster...............................................................................................................................................7
REFERENCES................................................................................................................................8
Information Systems and Big Data Analysis - A1 Big Data_2

INTRODUCTION
An accumulation of organised, semi organised and unorganised data collected by
organisation that can be extracted for information and can be used in anticipatory modelling,
technological projects and other advanced analytical techniques is termed as big data (Hou and
et.al., 2020). This report consists of Big data definition and its characteristics. It also includes
challenges faced due to analytics of Big Data and the techniques which are presently accessible
for Big data analysis. Support to business due to the use or Big Data technology have also been
considered in the following report.
MAIN BODY
Define big data and its attributes.
Big data is an assemblage of data that is huge in quantity, still has a potential or power to
grow speedily with time. The capacity of data is so huge and large in size that none of the
conventional data management techniques and tools can store it or operate it with efficiency.
Applications or technology that operates or stores big data have become a common factor of data
management structures in entities that supports use of big data analytics. Organisations uses big
data technology to upgrade their operations or working, and also to make available better and
improve services to its customers and promotional or marketing activities which in turn results in
increase in revenue and profits of the entity.
Big data technology carries multiple advantages with it such as:
Provides better consumer or customer services
Improves functional efficiency of the organisation
Determines the risk to the product or services offered by the entity
Enterprises can use external intelligence services in decision making process
Features of Big data: Big Data is an assemblage of data from a wide and different variety of
sources and commonly describe its five characteristics:
1. Volume: It refers to the unthinkable quantity of information that is created from social
media, cell phones, photographs, videos and credit cards. The name big data is itself
related to a size which means huge or enormous (Ianni and et.al., 2020). Size of data
plays a crucial role in determination of value of data. Also, the size of data totally
Information Systems and Big Data Analysis - A1 Big Data_3

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