The Impact of AWS on Data Management Practices in the 24th Century

This report investigates the impact of Amazon Web Services (AWS) on data management, focusing on the challenges faced by organizations before the advent of cloud computing. It covers the history of data management, challenges faced by Amazon, benefits derived from using AWS, and how AWS aids in business expansion through effective data utilization. The study uses a qualitative research approach, relying on secondary data from online sources, magazines, and articles. It also discusses hardware and software requirements, including NoSQL and DBMS, and mentions tools like VMware, Big Data, and Jupyter Notebook for analyzing consumer behavior. The report concludes that AWS provides crucial technologies and techniques for enhancing organizational capabilities in data management, enabling businesses to achieve favorable outcomes through innovative solutions.

The advent of AWS to data mgt in
the 24th century

Cover Content
 1- Introduction
 2- Aims and Objectives
 3- Why it is important and needed
 4- System Studied
 5-Requirements on hardware and software
 6- Methodology
 7- Implementation and Testing
 8- Conclusion

Introduction
Research Aim
The probable aim of research is depicted beneath:
• “To identify the challenges faced by a company before cloud computing in data management.”
Case study on Amazon
Research Objectives
• To study the history of data management.
• To identify challenges faced by Amazon in data management
• To determine benefits collected by Amazon by using AWS (cloud computing) in data management.
• To classify ways through which AWS help in business expansion by effective utilisation of data
management.

Continue..
Research Questions
 Illustrate the history of data management?
 What are the challenges faced by Amazon in data management?
 Depict benefits collected by Amazon through usage of AWS (cloud computing) in data management?
 How AWS help in business expansion by effective utilisation of data management?
Statement of Hypothesis
 H0: The new data management methodologies or tools leads organisation to error free results with
minimised redundancy and high accuracy.
 H1: The new data management tools are not adequate as compared to old tools in concept of errors,
accuracy and also offers duplication of information.

Why it is important and needed
•The significant reason behind conducting investigation on this particular topic that has been taken into
consideration by a researcher is that, it will help in enhancing the knowledge of how cloud computing has
helped organizations to manage their data. Before the time of cloud computing was introduced in the market, it
was really very hard for the organizations to manage their data and to reduce the challenges that are linking
with data management including the processes which were adopted by them for data management.
•It is needed because if any E-Commerce business firm wants to increase the product portfolio in near future
then additional space is specifically being given by cloud computing and AWS is said to be a successful
example for the same.

System Studied
• Basically, data management system including cloud computing are said to be the two
subjects that are specifically being studied that are important for an individual to
understand and gain the knowledge in order to become a successful employer or
employee in the field of Information Technology.

Requirements on hardware and software
There were a range of requirements that came in front while performing this particular
investigation on the chosen topic linking with both software and hardware and these are:
Software:
• NoSQL, helps in performing investigation for big data and also it is not particularly a part of
relational database and it also helps organisations to effectively have horizontal scalability
which will allow huge data warehouses like CIA, Google, Amazon and so on.
Hardware:
• There is no specific need that came in front until and unless a computer have database
management system (DBMS).

Methodology
 The overall dissertation has been developed considering qualitative type of Research and the
reason that came in front was that the chosen topic that is “To identify the challenges faced by a
company before cloud computing in data management.” Case study on Amazon, is directly
linking with feelings and emotions. Away with this, secondary data collection tool is also being
taken into consideration because the overall investigation was relying upon this only.
 Considering this investigator will grab opportunity to full outer favorable outcomes with the help
of different elements like online sources, magazines, articles, online books and so on

Implementation and Testing
• VMware, Big data, Jupyter Notebookpysparkare the different tools that are specifically being taken
into consideration in order to analyze how consumers carries behavior towards shopping
transactions and performing payments of a particular product if it is passed or not and then
consider or analyze it with other products.

Implementation and Testing
• Considering the overall information which has been presented in the dissertation, it is specifically
being concluded that latest technologies has enabled business organizations to pull out favorable
outcomes considering different solutions like data management and so on. On the other hand, AWS
is said to be one of the crucial Technology e that is focusing on different range of tools along with
the techniques that can help an organization in enhancing the overall capabilities while focusing on
a particular method.

References
• Hurwitz, J.S. and Kirsch, D., 2020. Cloud computing for dummies. John Wiley & Sons.
• Jaiswal, J.K., 2018. Cloud Computing for Big Data Analytics Projects.
• Kaoudi, Z., Manolescu, I. and Zampetakis, S., 2020. Cloud-Based RDF Data
Management. Synthesis Lectures on Data Management, 15(1), pp.1-103.
• Kareem, M., 2018. Prevention of SQL Injection Attacks using AWS WAF.

Thank you