data management Wb

Advisor’s Name Student’s Name
Running Head: BIG DATA CHALLENGES FOR DATA MANAGEMENT
Big data challenges for data management for NHS Trust London
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BIG DATA CHALLENGES FOR DATA MANAGEMENT 2
1. A description of the topic common to the articles along with an explanation of why this
topic is of relevance to the data management community and (if applicable) to your
organization. (Recommendation: 300words)
In the present age of 21st century, data acts as the lifeblood for any organization. In other
words, some of the researchers have termed data to be the tangible asset of an organization. As
per the thinking of the post era entrepreneurism assets are the only money and valuable people
which helps the organizations to run its operations, but in present days the meaning of asset for
the organization has added up with the data and information that has become an important and
the most valuable asset for an organization to seek success in long run (Mosley and Brackett,
2010). Database management has become an important aspect for any organization. It is
important for the organization to manage its data and information in a proper and better way for
the future to support the operation of the organization. For conducting this research and analyze
the problems of data management NHS trust has been chosen that is situated in London. This
trust covers a huge population of London and has decided to use a new System for referring the
adults who are above 18 years of age through a network system. This system helps the
organization to maintain the GP records and serve the patients in a better way. When it was
asked that is the trust able to maintain its huge amount of data that provides a link between the
smokers and cancer patients, evidence were provided that made the big data management
structure of the hospital clear to the public. At present day, the organization needs to maintain
more and more data to serve the society and continue the research on the solutions of the
problems of the society that has led the organization to face a problem of management of big
data (Big Data Literature Search, 2014). As the society is growing day by day, the amount of
data is also growing that is making the present system incapable of maintaining the huge data
and has generated the need of a solution to the problem of managing big data.

Words: 332
2. A summary of each article. (Recommendation: 400words)
For studying and understanding the problem of the organization for managing big data
and providing solution to the problems three literature sources have been studied. The first article
describes a procedure of systematic flow of huge data that are processed through cloud
computing. Here in this literature the key elements of big data management is discussed like
computer architecture, cloud storing facility, better data processing frameworks and other major
applications that helps in big data management. It can be understood from the article that big
data is not a new term and is one of the major challenges for the organization to work with. The
organization can use different cloud computing systems to store its huge data and information
and can use new techniques of online processing of data that will reduce the burden on the
organization as well as reduce the pressure of managing huge amount of data (JI et al., 2012).
The first article in short provides information and solution to the problem of data processing.
The second article is a study made on big data and management of big data. It provides
the information about what big data is and what kind of problem the organization can face in the
management of big data. The article provides ideas about how big data can be used to
management research and other medical research. It provides basic idea of what big data is and
what are the general sources of big data. It provides solution to the problems of sharing big data
and maintaining the privacy and ethical issues related to the big data (BIG DATA AND
MANAGEMENT, 2014). It is important to conduct continues management research to know the
better way of managing big data. Through continuous research of the management system and
proper analysis of the big data better solutions can be developed for sharing and management
data that can solve the problems of the organization for big data management.

In the third article, the harnessing of big data has been discussed that says that with the
growing need of managing big data the employment opportunity for the IT professionals has
increased. This is because they are the experts of managing and developing systems to manage
big data. The security is the main issue for big data management. This article mainly emphasis
on the issue of the IT professional and how they can be used in organization to develop the
system of better security for big database management. It is important for the organizations to
have skilled workforce that is capable of maintaining the big data and information of the
company and is capable of using the new cloud computing system and developing the system for
the organization (Dinu and Iovan, 2014). With increasing market demand for skill employees
and expert IT professionals there comes a fall in supply of the expert professionals.
Words: 476
3. A comparison, contrastive analysis and evaluation of each article’s contribution to the
topic you’ve identified. (Recommendation: 500words)
All the three articles that are mentioned here that are “Harnessing big data volumes”,
“Big data and management” and “Big data challenges and opportunities” are quite similar to
each other as they represent big data management but at the same time all the articles are quite
different from each other which are compared, analyzed and evaluated. The harnessing big data
volumes analyzes the data that is hidden within the variety of data that helps in finding the social
insights, information, benchmarks and other facts that are quite impossible to be found
inexistent. The technique allows large volumes of data to be maintained in an organization along
with complete potential that contain all the external and the internal information of the
organization. The big data concept helps in taking quick decisions and innovative ideas to help
the valuable customers in the society. The big data technique and the product catalogue helps the

customers to harness the value of the big data volumes along with the technological and the
technical issues that comes up with it in handling these big data volume in the global
environment. Whereas in case of big data management all the relevant sources of data are
analyzed according to proper methodologies so that they are easily acceptable and managed by
the scholars (Alam, 2014). The typical concept of big data management is to rely on the value of
p and at the same time establish valuable volumes of data that are quite effective and significant.
The process also uses several statistical tools to analyze these data as it is quite easy to find out
the false factor of correlation. The challenge of analyzing the big data is to move beneath the
patterns of correlation and explore the causalities of the big data. The data are often unstructured
and often helps in analyzing and observing the possibilities of the above mentioned causalities.
The detailed information on these relationships is available indifferent data sets that also
represent the statistical relation. The additional usage of the big data helps in further implications
of the societies and the communities for spreading the patterns of the big data. The high volume
data further helps us to understand the different behaviors in respect to the data collection
method than can easily transform big data management theories and its practices. Finally in the
article named “Big data challenges and opportunities” it is stated that the growth of several
applications in the sensor network or in the social network applications provides a wide range of
data to be processed, Hence effective processing and management of the data is a critical
challenge for the users (Big data could be big, 2011). The concept of big data has attracted many
industries, academic centers and the government as well. The most important quotient is the data
processing techniques along with its application. The article covers the concept of distributed
file system, data virtualization, data storage and its other applications. It also follows the map
reduce pattern policies for framework and its optimization strategies. Hence we can clearly

explore the research sights of big data processing in its near future and also in the environment of
cloud computing.
Words: 520
4. A discussion of the extent to which the ideas set out in the articles might or might not be
used to change policy and/or practice in data management, along with suggestions as to
how any change might be incorporated. (Recommendation: 1300words)
4.1 Big Data Management
Through recent research it has been found that most of the organization faces the same
problem of big data management system. it has been found through research that the
organization mainly faces the problem of system performance, network connectivity architecture
and congestion and scalability of the data (Hu and Kaabouch, n.d.). It has been suggested by
researchers that the commercial systems used for database management are not suitable for
processing and managing big data. Another issue that the organizations face is the problem of
security of database of the organization. It is important for the organization to maintain the
security level for the database for the betterment of the organization for solving this kind of
problems the organization needs the help of the IT professionals. With the classical system
architecture the organization cannot manage its huge amount of data because of the increasing
workload and the limited capacity of the architecture. Hence there comes the need to solve the
major problems of maintaining and managing big data that is really important for the
organization (Dong and Srivastava, 2015). As it is already known that the chosen organization
that is NHS is health service proving trust that collects and needs to maintain big data of the
community to which it provides its services. As the population of the community is increasing,
the amount of data is also rising along with the problems of managing the huge data.

4.1.1 Key problems for the organization
As the organization needs to maintain a huge amount of data it faces lots of problem with
the old traditional system. For this reason it needs to develop the system and policies for
maintaining big data. Some of the major problems the organization faces in managing big data
are as follows:
 Storage and management of big data: The increasing rate of the big data is not satisfied
with the increasing rate of the storage and management capacity of the big data. It is been
found through research that the organization faces the problem of storing and managing
big data with the traditional system and that is the major problem of the organization in
maintaining big database. With the traditional system and model of database management
the organization faces a huge problem of storing the big data that has led to the need of a
better storing and management system for the organization.
 Analysis and computation of big data: For analyzing a huge amount of data the most
important requirement is speed of the analysis system. With the traditional system the
organization spends a lot of time in analyzing the huge amount of data for solving any
queries related to the data. Hence it leads to wastage of time and makes the organization
defaulter in competing with other organizations using better technologies to analyze the
data. This brings forward the need of additional and better computation system that will
speed up the analytical capacity of the organization for managing its big data (Zwitter,
2014).
 Security of big data: Another major problem that the organization faces is the security
concern of the data. It is important for the organization to maintain the privacy of
important data and information of the organization. Without a good security system the

organization cannot safeguard its information. It becomes difficult for the organization to
maintain security of the big data with new technological revolution. Hence it needs
developed security options for its data.
4.1.2 Solutions to the problems
Where there is a problem, there is a solution to the problem. By studying the articles
solutions have been recommended to the organization for developing the policies for better big
data management system. The solutions to the problems are as follows:
 Cloud Computing: It is one of the solution for storing and managing big data that will
help the organization in maintaining its huge amount of data. Cloud computing also
comes up with a better security option that will also enhance the performance of the data
management system of the organization (Zhao et al., n.d.).
 Better network architecture: With a better network architecture and wireless system of
database management the organization can speed up its data management and processing
system. Though it would be costly implementation for the organization but to maintain a
huge base of data it is mandatory for the organization to develop a better network
architecture.
 Management research for big data: management research for big data helps to solve the
problems of computation and analysis of big data. By researching the management
techniques and implementing the better techniques and systems can speed by the analysis
and processing of the data. This helps the organization to improve its big data
management system. Researching management techniques is costly and time consuming
because it needs skilled experts for the job.

 Better data security solutions: The traditional data security system has a loop hole in
maintaining the security of the data and information for the organization. But with the
development of the security systems, the organization can implement better security
options for its big data management system.
4.2 Discussion of the key ideas and its success in solving the problems.
The solutions and the key ideas provided by studying the articles are useful in solving the
problems of big data management system in the organization. This helps the organization to
improve its policies for big data management. By implementing cloud computing system and
better network architecture NHS can develop its storage and management system for big data.
This helps the company to enhance its systems performance and reduce the issues of scalability
of big data. By implementing the policy for management research for big data, the organization
can know the actual problems the organization is facing in sharing and maintaining big data and
information. By knowing the loop holes in the management system the organization can develop
better strategy to reduce the problems and speed up the computation and analysis of the big data.
The organization needs to make changes in the system of managing the big data by adding new
technologies and more computation resources. This would incur huge cost to the organization but
will help the organization to maintain huge amount of data and serve the community in a better
way. With the ability to collect and process more amount of data the organization can carry on its
researches and develop the health care system in London. The organization has already
implemented the GP data processing system and wants to develop the big data processing system
more for big data management. But one of the major problem that the organization faces that has
no theoretical solution is the shortage of IT professional for developing the database
management system for the organization and maintaining the security for the organization. With

the increase in demand for the IT professionals there has occurred a shortage of IT professionals
in the market. This is a major issue that has no solution. Hence the company needs to recruit
most effective and experience IT experts for maintaining its big database system. Without expert
professionals the new system of big data management is useless. Hence, the organization needs
to build its policies to solve all the stated problems in gaining advantages to maintain big data.
As per the analysis, the theoretical solutions and ideas presented in the articles are capable of
developing the big data management system for the organization, but it is not capable of solving
the problem of need and shortage of IT experts for operating the improved DBMS system.
Words: 1260

References
Alam, M. (2014). Oracle NoSQL database. New York: McGraw-Hill Education.
BIG DATA AND MANAGEMENT. (2014). Academy of Management Journal, 57(2), pp.221-
226.
Big data could be big. (2011). Int J Productivity & Perf Mgmt, 60(8).
Big Data Literature Search. (2014). Big Data, 2(4), pp.230-232.
Dinu, B. and Iovan, S. (2014). HARNESSING BIG DATA VOLUMES. Fiabilitate si
Durabilitate - Fiability & Durability, pp.250-256.
Dong, X. and Srivastava, D. (2015). Big Data Integration. Synthesis Lectures on Data
Management, 7(1), pp.1-198.
Hu, W. and Kaabouch, N. (n.d.). Big data management, technologies, and applications.
JI, C., LI, Y., QIU, W., JIN, Y., XU, Y., AWADA, U., LI, K. and QU, W. (2012). BIG DATA
PROCESSING: BIG CHALLENGES AND OPPORTUNITIES. J. Inter. Net., 13(03n04),
p.1250009.
Mosley, M. and Brackett, M. (2010). The DAMA guide to the data management body of
knowledge (DAMA-DMBOK guide). Bradley Beach, N.J.: Technics Publications.
Zhao, L., Sakr, S., Liu, A. and Bouguettaya, A. (n.d.). Cloud data management.
Zwitter, A. (2014). Big Data ethics. Big Data & Society, 1(2).

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