Big Data Technology: Characteristics, Analysis, and Applications

This report provides a comprehensive overview of big data, defining it as a field that systematically analyzes large and complex datasets to extract valuable information. It highlights the crucial role of big data in reducing data storage complexity and fostering business growth. The report discusses key characteristics of big data, including volume, variety, and velocity, and explores challenges such as data integration, complexity, and security. Various big data analysis techniques, like data mining, machine learning, and statistical analysis, are examined, along with real-world examples of their application in data management, privacy, customer engagement, and business development, concluding that big data practices are essential for effective data storage and business success.

BIG DATA
INTRODUCTION
Big data means the field that makes threats to be analysed in
systematic manner helping in extracting information dealing over various data
sets that is to large or complex making traditional data processing regarding
application software. As per this data with many fields helps upon forming
statistical structure upon traditional data making better results to be achieved.
Further, Big data has important role to be played within an organization by
reducing complexity in storing data. Through big data all kinds of elements in
relation over data storing gets achieved. The concept helps in making business
grow with better approach as per market situation. Scope of big data holds
wider perspective in relation upon making business organization deal upon
issues of data storage. The poster is based upon discussion about concept of
big data with its various characteristics. Also techniques in relation over big
data analysis has been discussed in more effective manner. In the end example
has been taken over big data analysis.
A brief overview of big data
In modern world big data technology has emerged as one of the most
important parts existing within an organization. This helps in creating drastic
impact over an organization using IT as its main component. There are various
kinds of examples used within Big Data technology for example adoop, Spark,
NO-SQL, Hive and Cloud. Also through the technology IT industry is able to
develop more effectively which makes data to be used with more effectiveness.
The technological software formed through Big data analysis makes
management and storing of business data done in more secured manner. The
big data technology includes assessment over different factors making data
managed and store over making essential growth of business done with positive
approach. Also big data has helped in creating balance within an organization
by making business develop strong strategies in relation over data management.
The main aim of Big data is to make IT department work with more
effectiveness helping in supporting for all growth of an organization. Big Data
leads over making IT department achieve its goals and objectives in no time.
Also it has been mainly working upon analysing and storing data in precise
manner leading over supporting data operations. Big data technology is also
helpful in increasing the level of safe operations which are essential for a
business to develop big data related operations. The big data technology is
considered as major step which is essential for protecting crucial data related to
customers. In the success of a company at the marketplace big data technology
play a crucial role by giving priority to large data management in a precise
manner. This data leads upon guiding an organization about competitors
existing in an organization. Through big data IT sector leads over developing
various aspect which makes business grow with positive impact. IT sector
makes business form strong structure effectively.

Characteristics of big data
This is essential over an organization helping in making various
factors to be used which is related over making data technology which leads
towards making marketplace more wider in nature. Big data has various
characteristics helping over developing better structure making goals and
objectives achieved with proper motive. It makes big data used in more
effective for making marketplace. The major characteristics over dig data
technology that has been explained as follows:
 Volume of data- In general scenario it has been making an
organization over developing precise approach over large amount of
data. Through Big data volume large and number of consumer having
multinational and national companies. It helps over making precise
approach in handling large amount of data. Big data volume over
large and number over consumers making both multinational and
nation organization. In order handling large volume of data essential
for an organization holding major responsibility with trained and
skilled employees. The name Big Data over related over making
enormous size making Big data generate over various sources upon
daily basis. In this business process, machines, social media
platforms, network, human interaction and various other things.
 Variety of data- There are variety of data which has immensely make
case big data technology essential upon including categories over
data. In order to make variety data transferred in precise manner of an
organization. Through transferring data of an organization various
kinds of financial management leads over preparing business
strategy.
 Velocity of data- This is considered over speeding up data which
makes transfer possible from one source to another. In the recent
times velocity of data is managed by advanced software like HADOP
HPCC in the business.
This is essential over an organization helping in making various factors to be
used which is related over making data technology which leads towards making
marketplace more wider in nature. Big data has various characteristics helping
over developing better structure making goals and objectives achieved with
proper motive. It makes big data used in more effective for making marketplace.
The major characteristics over dig data technology that has been explained as
follows:
• Volume of data- In general scenario it has been making an organization
over developing precise approach over large amount of data. Through Big data
volume large and number of consumer having multinational and national
companies. It helps over making precise approach in handling large amount of
data. Big data volume over large and number over consumers making both
multinational and nation organization. In order handling large volume of data
essential for an organization holding major responsibility with trained and
skilled employees. The name Big Data over related over making enormous size
making Big data generate over various sources upon daily basis. In this business
process, machines, social media platforms, network, human interaction and
various other things
• Through making data transfer more effective in nature helps upon
making data strategy prepared over-preparing proper data structure. Big data
makes a variety of data collected in more effective manner making business
conducted more effectively. In Big data structured, unstructured and semi-
structured that are being collected over different elements. Data makes collection
with databases and sheets within past and data is collected with the helps PDFs,
Emails, audios, SM posts, photos, videos, e
It is very much essential for a company to manage the velocity of data
consistently for the long-term success of the business. Then velocity has an
important role to play over comparing over various others perspectives. Velocity
creates through speed which makes data to be created in real-time. It contains
linking of incoming data sets speeds, rate of change, and activities. The primary
aspect of Big Data over providing data rapidly.

These characteristics act as a positive aspect for Big data which makes
business organizations collect and store their data in a more secure manner.
Further, these characteristics has helped in making data usage done in a more
effective way. Also, big data has made an organization cover important
perspectives making businesses deal over various aspects in relation to data
development. Big data enhanced itself making organizations’ goals achieved
with perfection and aspiration of businesses organization.
The challenges of big data analytics and techniques available to analyze big data
Big data technology has its applications within the business that is
irreplaceable in nature and various organizations use big data technology. This
is an important aspect of business required for focusing on long-term customer’s
satisfaction. In the modern world challenges based upon big data has been
increasing on daily basis due to change in customer percentage. Also, the issue
over customers data has increased causing lot of problems for an organization to
establish within the market. In order to manage these challenges in relation to
big data analytics deep analysis requires to be created by IT experts of an
organization. The main challenges in big data analytics are mentioned below:
 Data integration- As per this management of big data technology
integrated over covering major challenges in relation to Big data. The
data integration has important role to play within data management
through a large number of sources. In this, a researcher requires over-
collecting data from various sources and it becomes major
responsibility of the researcher to facilitate data integration.
 Data complexity- In order to deal with the complexity of data it is
required for researchers to overcome various issues and practices. The
data holds complexity and rigidity over various cases making research
handled in a more effective way. Data complexity is one of the major
challenges in relation to ethical issues of business handling complexity.

•Data security- The main issue and challenge in data handling and maintenance
is data security. It is the major role and responsibility of management to handle
data security with major patience in order to manage the security of data. In the
world of technology, there are many attacks like malware and spyware that can
impact whole data. It is important for the researcher to analyze and develop big
data while keeping in mind various security issues.
The techniques available to analyze big data are mentioned below:
•Data mining- Data mining is a common kind of tool which has been used by
an organization for handling big data analytics. In data mining extracts patterns
over large data make methods from statistics helped in learning management of
the database.
•Machine learning- This kind of learning is based on artificial intelligence,
machine learning which is based on various dimensions of computer science
and algorithms. Machine learning provides different analyses related to various
perspectives.
• Statistics- The technology has been processing, managing, and
analysing data over the entirely different and expensive field which evolves and
develops time. These techniques and technologies make the size of data to be
more valuable. Managing accurately helping in hosting business and its various
products with market insights.
 Customer engagement- Customer engagement has been facilitated
through data technology that made data synchronization possible. This
is a major responsibility of IT department of business organization
managing data according to the number of customers. For example,
Tesco is a British retailer organization making customers satisfaction
over big data technology created.
Big data technology could support the business by using examples
In the current competitive environment, big data technology has
helped in making the business grow at a faster and better place. This helps in
facilitating organization over customers data more effectively. Many business
organizations help overdevelop competitiveness by helping with big data
technology. Big data technology has helped in supporting business upon
various factors which are given as follows:
 Management of data- Big data technology has helped in managing
data that is useful within the business in a more effective manner. As
per big data technology advanced software has been used with
systems making ease developed within the business over managing a
large amount of data. The data managed through big data technology
makes available for business done over a long time helping in
handling customers. For example, Necol garages is a multinational
UK-based organization that makes precise management of large data
done in different parts of the globe over data technology.
 Privacy of data- The privacy of data holds importance upon both
organization and the customer. This application has been used for big
data technology which plays a major role within business
development by maintaining the privacy of large amounts of data. For
example, Astra Zeneca which is a British multinational
pharmaceutical company maintains the privacy of data with the help
of big data technology.
 Business development and growth- Through this, an organization is
able to achieve business goals and objectives helping in making the
main target of the business organization achieved within the set time
period. For example, Amazon which is the biggest e-commerce
market player makes various targets accomplished with data
technology within the international market.

CONCLUSION
From the above discussion, it can be marked out that big data means
those practices which have been used for making data stored in a more
effective manner. Through big data technology researcher of an organization
makes management done in relation overusing appropriate technology and
methods. The projects are based upon essential aspects of research in order to
overcome different challenges associated with big data technology dealing
with the complexity of data. Also, it covers big data technology and its various
applications of business in a faster and better manner.
REFERENCES
Books and Journals
Baig, M.I., Shuib, L. and Yadegaridehkordi, E., 2019. Big data adoption: State
of the art and research challenges. Information Processing &
Management, 56(6), p.102095.
Chang, V., 2021. An ethical framework for big data and smart cities.
Technological Forecasting and Social Change, 165, p.120559.
Choi, T.M., Wallace, S.W. and Wang, Y., 2018. Big data analytics in
operations management. Production and Operations Management,
27(10), pp.1868-1883
Ghani, N.A and et. al., 2019. Social media big data analytics: A survey.
Computers in Human Behavior, 101, pp.417-428.
Ghasemaghaei, M. and Calic, G., 2019. Can big data improve firm decision
quality? The role of data quality and data diagnosticity. Decision
Support Systems, 120, pp.38-49.
Kar, A.K. and Dwivedi, Y.K., 2020. Theory building with big data-driven
research–Moving away from the “What” towards the “Why”.
International Journal of Information Management, 54, p.102205.
Naeem, M and et. al., 2022. Trends and future perspective challenges in big
data. In Advances in Intelligent Data Analysis and Applications (pp.
309-325). Springer, Singapore.
Ngiam, K.Y. and Khor, W., 2019. Big data and machine learning algorithms
for health-care delivery. The Lancet Oncology, 20(5), pp.e262-e273
Tiwari, S., Wee, H.M. and Daryanto, Y., 2018. Big data analytics in supply
chain management between 2010 and 2016: Insights to industries.
Computers & Industrial Engineering, 115, pp.319-330.
Xu, L.D. and Duan, L., 2019. Big data for cyber physical systems in industry
4.0: a survey. Enterprise Information Systems, 13(2), pp.148-169.