IT Infrastructure Management and Career Development

This assignment discusses the significance of IT infrastructure management, data quality, and cloud computing in career development. It highlights the major functions of data centers, including backup, monitoring, patching, and consistency. The assignment also touches on the importance of maintaining data quality using tools like Experian Data Quality and the risks involved in cloud computing. Finally, it concludes that a career in IT can be a suitable option for those interested in technology and innovation.

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RUNNING HEAD: IT Infrastructure Management
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IT Infrastructure Management

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Introduction about myself
I personally believe that professional aspect is developed in person when one decides to
be well defined, recognized and respected. I had a great interest in computers and programs.
When I was a kid, I was fond of computer programs and used to bunk classes to meet with a
childhood friend who was software engineer. I also used to think how computers are made and
how does it operate. I used to meet him daily I would learn some more about computers. My
interest grew up with my age and I got an opportunity to build my career in the same.
Importance of IT in my career
Career plays an important role in everyone life and so does mine. It gives a reason in life
to achieve something and also provide a guideline to choose a right direction. One get stuck to
right direction when focused on career. But again it depends on the profession one have chosen
So now if I say I will an engineer, then this is what I am studying at this particular point
of time because one is sure about future when he/she starts working for it in present. This does
not include what I used to think few years back. Despite of earning good and supporting your
family, I personally believe that career is something which aims at defining you and maintaining
your self-worth in the society.
Main Functions of Data centers
Coming to some topics of IT, there are some functions that are carried out by data centers.
Some of the major functions are mentioned below.
 Backup: It helps to backup servers and data automatically on a daily scheduled basis. All
the information are secured and protected with high authentication.
 Monitoring: It helps to monitor major network components, gives an alert call when any
problems takes place and also manages to monitor uptime reporting.
 Patching: It also helps to download and deliver server updates and hotfixes to client
machines.
 Consistency: It also manages to deliver consistency. Once all the configurations are set, it
aims at providing an automated solution every time when it is run. This helps technicians
because sometimes it happens that they miss a step (Hertvik, 2016).

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Importance of data quality
In addition to this, there is also a major importance of maintaining data quality. There are
several tools such as Experian Data Quality which helps to collect data. It is very important
because one cannot understand the customers in the absence of high quality data. It makes easier
to find out key information and it also helps to boost towards customer loyalty. It also helps to
reduce mailing costs, enhance customers’ relationships and provide more consistent data
(Davenport, Barth & Bean, 2012).
Problems with cloud computing
Coming to cloud computing. There are large number of risks involved in cloud computing.
Security is one of the major issue involved in cloud computing. Since, it is totally based on
internet, several hack attacks may take place which cannot be easily recoverable (Beloglazov &
Buyya, 2010). Other issues includes identity and access, trust, compliance, governance, incident
response, data protection, copyright, data portability and privacy breaches. Despite of such
issues, it has been successfully used in IT industry with many loyal customers (Sehgal, 2016).
As a result, it can be concluded that career is IT can be one of the best option if chosen
because it helps to give an opportunity to know the technology used and it also helps to know
how things work exactly.

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References
Beloglazov, A., & Buyya, R. (2010, May). Energy efficient resource management in virtualized
cloud data centers. In Proceedings of the 2010 10th IEEE/ACM international conference
on cluster, cloud and grid computing (pp. 826-831). IEEE Computer Society.
Davenport, T. H., Barth, P., & Bean, R. (2012). How big data is different. MIT Sloan
Management Review, 54(1), 43.
Hertvik, J. (2016) Data Center Management Tools: Features, Functions, and How to Choose.
Retrieved from: http://www.bmc.com/blogs/leverage-data-center-automation-less/
Sehgal, S. (2016) Road towards Cloud Computing – What are the issues? - Part – I. Retrieved
from: https://www.simplilearn.com/cloud-computing-issues-part-i-article