Evolution of Data Storage Techniques in Big Data Era

The assignment content discusses the concept of Big Data, which refers to large amounts of data storage and utilization. It highlights the importance of big data in understanding consumer behavior, storing customer information, and providing services efficiently. However, it also emphasizes the challenges associated with big data, such as privacy protection issues, threat to data security, and imperfect supervision systems. The content identifies three key characteristics of big data: volume (large amount of data storage), velocity (rapid processing and exchange of data), and variety (inclusion of different types of data). It concludes that understanding big data is crucial for social progress and security threats, but emphasizes the need to develop a system that ensures privacy protection and data security.

VERIFICATION AND VALIDATION

TABLE OF CONTENTS
Introduction................................................................................................................................1
Intention and content of the article.............................................................................................1
Research method........................................................................................................................2
Findings......................................................................................................................................2
Challenges associated with Big Data.....................................................................................3
3 characteristics of big data....................................................................................................3
Conclusion..................................................................................................................................4
References..................................................................................................................................1

Introduction
Big data helps the people in utilization of internet technology through which
commercial value for internet services can be gained. Big data is the area which helps in
analyzing, systematically organization of information through which large and complex data
processing application can be controlled. It influences the data with sizes where capacity
increases and acceptable time reduces. It helps in developing balance between predictive
analytics and behavior analytics [3]. Data sets are increasing rapidly and this helps in in
gathering numerous information sensing systems through which various devices can be
connected. Big data is initially associated with volume, variety and velocity.
Big data is the data which have huge sizes and it describes a collection of data which
is extremely used in size and it constantly increases over a period of time. Big data influences
internet service providers and data traces through which rapid development can be seen in
facilities provided [3]. Big data comes from internet and the researchers have categorized
several models through which needs of user could be evaluated. It is very important to
develop a system through which supervision of data information in social networks can be
done so that security and privacy protection can be increased.
Intention and content of the article
With the help of which article detailed description of Big data can be generated. It has
been explained that big data provides appropriate uses of internet services through which
commercial value for the internet service providers can be generated and application of data
can be reduced in terms of complexities [1]. It also helps in reducing the chances of
fluctuations and illegal activities such as reselling and fraud of data. In this report several
challenges associated with big data are also disclosed. It is very important to understand the
usage of services provided through internet so that maximum benefits can be generated. It is
very important to generate privacy protection legal mechanism through which data stored can
be kept with high level of security and criminal law amendment can be imposed on it. The
government had taken the necessary actions to increase the security and protection on
information which is been stored in the systems. With the help of this article functioning of
big data will be understood in detail and all the terms and technologies associated with it will
be evaluated. Big data will help in using the outside intelligence while taking decisions
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regarding the business activities. It will also help in increasing the customer service through
which more business can be generated for the company. It will also help in increasing the
operational efficiency through which more opportunities can be given for conducting the
business activities.
Research method
Secondary data has been used for this research where the data has been collected by
someone else and used by someone else. Various articles have been studied in detail through
which the core content can be generated and it can be created in an article. Secondary data
influences and modification of the data which has been collected earlier from internet
searches or libraries. It has been collected from various other sources based on big data so
that better understanding can be generated and appropriate data can be evaluated.
For this research qualitative data is used through which detailed description on the
topic can be generated. For qualitative research non numerical data is get that and it refers to
identification of concepts, characteristics, symbol and description of the topic. Qualitative
research is the approach through which academic disciplines can be focused and qualitative
evaluation of the topic can be done. This will help in generating appropriate information and
content regarding the topic through which better understanding can be gained. This will also
help in adopting a suitable strategy for implementation of big data in the companies [2].
Findings
Big data is very similar to small data but this is comparatively bigger in size. Bigger
data will require different tools, techniques and architecture through which it can be stored
properly and maximum uses can be generated from it. It will focus on resolving the problems
associated with data storage and internet services. Big data generates worth from the storage
and processing activities of large quantities through which digital information can be
generated and used properly. Data sets are increasing rapidly and this helps in in gathering
numerous information sensing systems through which various devices can be connected.
Big data is used by the companies where large amount of data is transacted on a daily
basis. Major companies like Walmart and Facebook use big data through which they can
handle large amount of data easily [3]. It is very important for large organizations to use big
data so that data can be stored properly and chances of data breach can be avoided. With the
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help of big data evolution of data storage techniques can be seen. It influences the data such
as information of the consumer, contact details, requirement of the consumers, product
details, service details, customer feedback and so on. It is very essential to have big data so
that large amount of data can be stored and utilized properly so that it can be used for other
purposes.
Challenges associated with Big Data
 Privacy protection is lacking
Privacy protection is poor in big data because data is not protected for user in the
process of using it. It will encounter certain inconveniences due to which data security
problems can take place and personal privacy can be ruined. The information is being
process and it can be used by any person without the permission of the user.
 Threat to data security
Data security is the most important element of any technological system. Explosive
growth of the internet will bring in more problems and issues. Security problems can
be carried throughout the process of data storage due to which chances of data breach
can be observed [4].
 Privacy issues
There are various terms and conditions associated with privacy protection due to
which there are chances of data fraud. Imperfect supervision system and vulnerability
of information loss can be observed due to large data and it can be towards negative
effect on individual and business.
3 characteristics of big data
 Volume
Big data influencers amount of data storage in the system. Where is large data which
needs to be stored then big data can help in appropriate uses and storage of the data
[5].
 Velocity
Velocity influence is uses of data on one click. Machine to machine processes can be
immediately used to exchange the data between billion of devices through to
increased velocity.
 Variety
Big data is not just a number, date or string but it is a complete geospatial data comma
3D data, unstructured text and audio as well.
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Big data has not only developed several opportunities for social progress but it has
also influenced information security threat to the society [4]. Due to the security and privacy
protection of big data information professional private information can be stored securely.
Privacy protection is poor in big data but the IT department is working on increasing the
protection of the agency. It is very important to develop a system through which supervision
of data information in social networks can be done so that security and privacy protection can
be increased. It is very essential to develop certain security factors through which privacy risk
in the data can be eliminated and protection to the content can be generated.
Conclusion
In this report big data has been understood in detail and several issues associated with
it have been disclosed. Big data has influenced the storage of data in large numbers and units.
With the help of appropriate storage of information the company can use the data whenever
required. With the help of big data information about the customers, contact details,
requirements of the clients and their memories can be stored appropriately without network
issues. There are various terms and conditions associated with privacy protection due to
which there are chances of data fraud. The government had taken the necessary actions to
increase the security and protection on information which is been stored in the systems. There
are several issues associated with big data but all the issues are associated with privacy and
the IT department is working on reducing the chances of theft and loss of data. Big data is
generally considered as the data which is large in size and it is used to describe the collection
of data which is growing exponentially over a period of time. Big data generation includes
stock exchange, social media sites and jet engines. Implementation of big data can be seen in
most of the large organizations where the data is being stored in huge quantity. Big data
influences velocity, variety and volume of the data. It is very important to understand the
usage of services provided through internet so that maximum benefits can be generated.
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References
[1]A. Gandomi and M. Haider, "Beyond the hype: Big data concepts, methods, and
analytics", International Journal of Information Management, vol. 35, no. 2, pp. 137-
144, 2015. Available: 10.1016/j.ijinfomgt.2014.10.007.
[2]d. boyd and K. Crawford, "CRITICAL QUESTIONS FOR BIG DATA", Information,
Communication & Society, vol. 15, no. 5, pp. 662-679, 2012. Available:
10.1080/1369118x.2012.678878.
[3]D. Zhang, "Big data security and privacy protection", in 8th International Conference on
Management and Computer Science (ICMCS 2018), China, 2018, pp. 275-278.
[4]P. Zikopoulos, Understanding big data. New York: McGraw-Hill, 2012.
[5]V. Mayer-Schönberger, K. Cukier and A. Iriarte, Big data. Madrid: Turner, 2013.
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