Big Data Analysis: Characteristics, Issues, and Techniques

This report from Desklib explores the characteristics, issues, and techniques of big data analysis. It covers the volume, variety, and velocity of big data, as well as the challenges of data security, complexity, and quality. The report also discusses techniques such as data mining, machine learning, and statistics. Finally, it highlights how big data technology can help management with data management, privacy, and customer engagement.

Big Data Analysis

Table of Contents
TASK...............................................................................................................................................3
Big data and characteristics of big data..................................................................................3
Issues of big data analytics.....................................................................................................4
Techniques to analyse big data..............................................................................................5
Big Data technology could help the management..................................................................5
Poster......................................................................................................................................7
CONCLUSION ...............................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Big data techniques is linked with larger term of divisions of informations that involves
diverse consumers in the management. It is required for the management to manage big data
techniques that referred as the development in the area of marketplace. The business have to
create an efficient functional software system for controlling divisions that are linked with big
data technologies (Awotunde, and et.al., 2021). The following project covers discussion of big
data techniques and other several attributes. It will figure of respective issues which is economic
in examining the big data technology. As it cover suitable terms through Big data and
characteristics of big data and the big data technology and it involves divisions through that big
data will help an organisation.
TASK
Big data and characteristics of big data
Big Data
The modern era, big data technologies is creating a suitable effects on data technological
sector. It involves various courses of the big data that are effectively engaged in the software like
Hive and Cloud. These technical software program will aid effective framework and as well as it
organise big data that are directly linked with management. It also involve the classification of
varied term of the factors that follows the big data holding that are economic for the development
of an organisation and evolve synchronisation of the big data techniques. It involves functional
and operational term in the big data techniques. It will rely on the manner of the activities in the
management that can be evaluate with suitable course of big data in effective manner that help
the managerial functions (Bi, and Wang, 2021). It will also helped in increasing the divisions to
safe the actions that plays vital role in the management to manage big data. The big data
technology is linked with primary sections that are necessary for assuring wider term of
information of their customers. The organisation can acquire the key term of effectively in the
area of marketplace by big data technology that are obligatory for demonstrating wider
information in a suitable manner.
Characteristics of big data
An organisation require to ascertain varied components which is related with big data
technologies it is discussed beneath -

 Volume of data – In this division, an organisation who need to manage an efficient
software with the aim of maintaining the data. Big data volume is larger and have a big
volume of customers who are higher in a division of multinational and as well as national
management. By maintaining the larger volume that are significant for the management
to follows their roles and responsibilities to hire experts and skilled candidates. Variety of data – It present in immense manner of big data techniques that is significant
to be maintained as effectively (Chen, and et.al., 2021). It also covers suitable model of
the sources in respect to assure that the section of information that will get transferral
with efficiency. The management have to present various work like business outputs and
developing organisational strategies.
 The velocity of data – This liked with the rate of the sources through that it will convey
from one sector to other one. As the present contemporary time, the rate of sources will
get managed through developing innovative computer programs like HADOP HPCC in
an organisation. It is an essential way for the management to manage the rate of sources
that are consistently relates to higher term of effectiveness of an organisation.
Issues of big data analytics
Big data technology defines an effective divisions in the business. It covers fixed
elements due to that the business in current period of time by using big data software. An
organisation requires to focuses on big data to acquire consumer desires for higher term of case.
In the contemporary era, it involves several term of challenges that are related with big data with
the aim of increasing consistent divisions (Johnson, and et.al., 2021). It present as per to the
needs for data analysis in order to maintain the data of consumers. With the purpose of managing
the issues that will linked to big data analytical, an organisation should develop an exclusive
reasoning of abilities by taking the advises by their advisors. It covers basic issues in big data
technologies are discussed below -
 Data security -
Organisation of business use big data techniques, as it is linked with primary sort of
problems. It plays vital role in addressing and following it from broad sort of points. The
researchers will research from various references and it might be termed to the fundamental
section of the experts to give data safety to their users. In contemporary division of international

techniques, it cover several dealings in terms of virus less applications and as well as spyware as
effectively. Data complexity – By following and managing the sources it will covers complexities
that are significant for the research worker to defeat the problems and faults. The sources
is examinable and smooth within sectional term that make it difficult for researcher to
manage sources (Li, 2021). It will directly connect with the fundamental issues due to
which their standardise manner of the task through advisors in the business to maintain
the sources issues.
 Maintaining quality Data – Through managing a wider source of information, it might
be tough for an organisation for maintaining it. It include suitable section for twinned, in-
correctness, deficiency and so on. Along with this, organisation is spending higher time
to overcome the problems.
Techniques to analyse big data
 Data mining – It is a basic technology that are utilising through the management to cover
the big data technology. It frames out varied term of sections with broader manner of
informations. It collects the act through statistical and machine learning within divisions
of an organisation.
 Machine learning – It will linked with the message in terms of AI, machine learning that
are effective linked with framework of informations and recursive programs. It offers sort
of examining sections that are supports virtual term of learning.
 Statistics – The techniques include the procedure, controlling and measuring such data
that are comprehensively diverse and comprehensive area of concept that develop and
create with definite term (Riznyk, 2021). Techniques that follows the suitable framework
are precious. It help in managing straight and suitable dealings which will demonstrate
the enterprise, goods and as well as suitable performance.
Big Data technology could help the management
In the contemporary situation, the big data technology will help the organisation to create
as quick by providing an organisation in managing past sources of data of their users. Varied
management can evolve competitive benefits by the support of big data technology. It will
support in holding the company with the motive of evaluating the elements which is discussed
beneath -

 Management of data – It will aid suitable information that supports an organisation in an
arranged manner. This will cover deep manner of software program and divisions that
might be effective for an organisation to manage effective term of sources. An
information that can be managed from big data techniques is approachable for the
business durable period of time. It also helps the customer in maintaining their sections as
effectively (Zeng, 2021). For example, Land Rover is a multinational brand that deals
with cars with larger divisions of sources with suitable terms by the support of big data
technologies. Privacy of data - It is important for some company and as well as customers in the area.
By utilising the coursework actions in it, this plays significant part in organisational
created by maintaining the secrecy of source of customers. This might increase the ethical
value of consumer by following the secrecy of wider term of sources. For example,
ASDA, that is multinational retailer sector supermarket organisation that maintain their
privacy divisions of sources that with the aid of big data application. Customer engagement – Customer engagement is termed as an important term in the big
data techniques. This will also help in synchronisation of source of information. This is a
fundamental word of the functions of sources in which dealing of the company is to
frame the manner of data as per to the number of customers (Lu, 2021). Engagement of
the consumers is a fundamental precedence of each organisation that cover big data
technologies that also help in increment of the belief of all organisation by increasing
consumer satisfaction that will develop customer values in an organisation. For instance,
Sainsbury is a multinational brand of retailer management that work to attain their targets
and higher term of engagement of customer and fulfilment of their desires with the aid of
big data techniques.

Poster
CONCLUSION
From the above mentioned report it has been concluded that, big data is an effective sources of
information that helps researcher and businesses. It supports the investigator in maintaining high
term of data in management. The investigator also involves the efficient divisions to get over
challenges which are directly linked with the big data technologies to functions with several
issues.

REFERENCES
Books and Journals
Awotunde, J.B., and et.al., 2021. Big data and data analytics for an enhanced COVID-19
epidemic management. In Artificial Intelligence for COVID-19 (pp. 11-29). Springer,
Cham.
Bi, W. and Wang, G., 2021. Local Cultural IP Development and Cultural Creative Design Based
on Big Data and Internet of Things. Mobile Information Systems, 2021.
Chen, J., and et.al., 2021. Big Data Analysis Supports the Research and Pilot Application of
Distribution Network Planning Technology. In IOP Conference Series: Earth and
Environmental Science (Vol. 632, No. 4, p. 042047). IOP Publishing.
Johnson, M., and et.al., 2021. Impact of Big Data and Artificial Intelligence on Industry:
Developing a Workforce Roadmap for a Data Driven Economy. Global Journal of
Flexible Systems Management, pp.1-21.
Li, Y., 2021. Research on the Application of Big Data in Logistics
Management. Management, 9(6), pp.490-494.
Lu, H., 2021, March. Research on Computer Programming Optimization System Based on Big
Data Technology. In Journal of Physics: Conference Series (Vol. 1802, No. 3, p.
032046). IOP Publishing.
Riznyk, V., 2021. Big Data Process Engineering under Manifold Coordinate Systems. WSEAS
Transactions on Information Science and Applications, 18, pp.7-11.
Zeng, J., 2021, April. Application of Big Data Processing Technology in Human Resource
Management Information System. In Journal of Physics: Conference Series (Vol. 1881,
No. 3, p. 032029). IOP Publishing.