The advent of AWS to Data Management in the 24th Century

The advent of AWS to
Data Mgt in the 24th
Century

Abstract
Data management refers to the administrative process that comprises of acquisition,
validation, storage, protection along with processing of data is needed for ensuring accessibility,
reliability along with timeliness of data for their users. Enterprises makes use of big data for
informing business decisions through which deeper insight can be attained with reference to
trends, opportunities and customer behaviour through which extraordinary customer experiences
can be created. There are different challenges that are faced by organisation while delivering
their services within market. It becomes necessary to ensure that data is managed in an adequate
manner so that relevant decisions can be formulated. With evolution of technology, data
management has also evolved a lot with respect to issues that are faced in this aspect and
designing a relevant solution for dealing with that.
Amazon Web Services renders on demand services to firms through which primitive
distributed computing and technical infrastructure can be provided as a building tools and blocks.
AWS not only provides the firms with an option for data management but also offers services at
low cost, high elasticity, agility, flexibility, security, backup, application hosting, database and
many other features are being furnished. Along with this, the pay per use model aids firms to
easily expand their operations and functionalities within the global market. The challenges that
are being faced by organisation while delivering their services includes integration, storage, cost
of infrastructure, security, migration, lack of training & human workforce, analysis and many
more are there. In addition to this, the amount of data is continuously increasing which makes it
important for firms to take adequate measures or techniques through which this can be analysed
and decisions can be formulated by making use of knowledge.

Table of Contents
Abstract............................................................................................................................................2
Title: “The advent of AWS to Data Management in the 24th Century” .........................................1
Chapter 1..........................................................................................................................................1
Introduction......................................................................................................................................1
Background of the research.........................................................................................................3
Problem statement.......................................................................................................................3
Research aim...............................................................................................................................4
Research Objectives ...................................................................................................................4
Research Questions ....................................................................................................................5
Statement of Hypothesis.............................................................................................................5
Rationale of the study..................................................................................................................5
Significance of the study.............................................................................................................6
Route map of research ................................................................................................................6
Summary..........................................................................................................................................8
Chapter 2..........................................................................................................................................9
Literature Review.............................................................................................................................9
Introduction......................................................................................................................................9
Review...........................................................................................................................................10
History of data management.....................................................................................................10
Identify challenges faced by Amazon in data management......................................................16
Benefits collected by Amazon by using AWS (cloud computing) in data management..........19
Ways through which AWS help in business expansion by effective utilisation of data
management..............................................................................................................................23
Summary........................................................................................................................................26
Chapter 3........................................................................................................................................27
Research Methodology..................................................................................................................27
Introduction....................................................................................................................................27
Methodologies................................................................................................................................28
Summary........................................................................................................................................35

Chapter 4........................................................................................................................................36
Implementation..............................................................................................................................36
Introduction....................................................................................................................................36
Themes...........................................................................................................................................36
Theme 1: Illustrate the history of data management?...............................................................36
Theme 2: What are the challenges faced by Amazon in data management?............................39
Theme 3: Depict benefits collected by Amazon through usage of AWS (cloud computing) in
data management?.....................................................................................................................40
Theme 4: How AWS help in business expansion by effective utilisation of data management?
...................................................................................................................................................42
Summary........................................................................................................................................44
Chapter 5........................................................................................................................................45
Conclusion and Recommendation ...............................................................................................45
Introduction ................................................................................................................................45
Overview of dissertation...........................................................................................................45
Recommendation...........................................................................................................................46
Summary........................................................................................................................................46
References......................................................................................................................................48

Title: “The advent of AWS to Data Management in the 24th Century”
Chapter 1
Introduction
The administrative process that comprises of acquisition, validation, storage, protection
and processing of required data for ensuring that data is being created as well as are collected by
firm is referred to as data management. It acts as critical piece within deployment of IT systems
that are liable for execution of business applications thereby, leads to analytical information for
driving operational decision making and strategic planning by business managers, corporate
executives as well as other end users (Demirbas, 2020). Data management process comprises of
aggregation of distinct functions which aims at ensuring that data within corporate system is
precise, accessible and available. With evolution of technology, various enhancements are being
made with respect to ways in which it is being processed and utilised by firms for delivering
their functionalities. AWS (Amazon Web Services) renders on-demand cloud platforms along
with APIs to companies, governments and individuals. This cloud service is liable for furnishing
a abstract technical infrastructure along with building blocks and tools of distributed computing.
This dissertation will furnish relevant details associated with challenges that were being faced by
firm before cloud computing existed and potential impact created by this aspect on their
functionalities.
Data management implies ambiguous and broad concept which denotes development of
policies, procedures, architectures and practices for management of data lifecycle (Kaoudi,
Manolescu and Zampetakis, 2020). With reference to data management the five possibilities are
specified beneath: Cloud data management: This implies the process associated with integration of data
from ecosystem of cloud applications. All the intake, data storage as well as processing
takes place within cloud dependent storage medium. ETL and data integration: It comprises of loading of data from sources within the data
warehouse, transforming them, their summarisation along with their aggregation in the
adequate format for carrying out in-depth analysis. Master data management: This denotes method for management of critical data of
organisation that is accounts, parties and customers within the business transactions in the
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standardised manner which will further prevent duplication in the organisation (Mbelli,
2019). Reference data management: This denotes a permissible values that are utilised by other
data fields like list of countries, cities, postal codes, product serial number and regions.
This might be externally provided or within the premises of organisation.
 Data analytics & visualisation: The process that is utilised for processing of data via data
warehouses of big data sources for carrying out enhanced data analytics and enables
analysts to slice, dice as well as illustrate the visualisations along with dashboards.
With the massive quantities of data, relevant tools are needed with reference to aspect
illustrated above. Firms which deals with large amount of data , they have to store, sift through
this and also conduct analysis routinely for storing as well as managing them across the cloud
(Nagpure and et. al, 2019). The tools which firm can utilise are Amazon web services, Microsoft
Azure, Google Cloud, and Panoply. With reference to this dissertation, emphasis will be laid on
Amazon Web Service (AWS) which offers ever-expanding set of tools which can be put together
within effectual cloud data management stack. The key services are: Amazon S3: Simple storage service which is being delivered by AWS and furnish object
storage via web service interface. This can be utilised storing any kind of object that will
assist within storage for backup, internet applications, disaster recovery, data lakes for
having analytics, data archives along with cloud storage. This provides temporary and
intermediate storage. Amazon Glacier: It is a secured, durable as well as low cost storage class for data
archival as well as maintaining long-term backup. This is designed for having long-term
storage of the information which is accessed infrequently and for this latency time that is
acceptable is around 3 to 5 hours.
 AWS Glue: It is a fully managed ETL that denotes extraction, transformation and loading
of service which makes this simple as well as cost efficacious for categorising data,
cleaning it, enriching this and moving it reliably among different data streams and stores
(Roe, 2020).
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In present context researcher has taken into consideration Amazon which is an American
multinational technological firm that emphasise on delivering e-commerce services, digital
streaming, artificial intelligence and cloud computing. This was founded on 5th July, 1994 by Jeff
Bezos and is headquartered in Seattle, US. They deliver their services worldwide and for this
they have near about 8,40,400 employees. This is regarded as one of the most influential cultural
as well as economic force in the world and is valuable brand. They are also known for their
disruption within the technological innovation. Amazon provides AI assistant, live streaming,
cloud computing platform and online marketplace. They are the world' s largest provider with
respect to cloud computing services in context of infrastructure as a service (IaaS) and platform
as a service (PaaS).
Background of the research
Data management has important role within the organisation in terms of manner in which
operations are being conducted by them. The practice that assists within collection, keeping as
well as usage of data in secured, efficient and cost efficacious manner is referred to as data
management (Roh, Heo and Whang, 2019). This aims at at assisting organisations, individuals
and associated things for having optimised usage of data in certain bounds of regulations along
with policies through which decisions can be made effectively by taking actions in an
appropriate manner through which organisation can have maximised benefits. At present
scenario, firms need to have relevant data management solution that will render them with
efficient ways through which data can be managed across distinct tiers. Data management
systems are formulated on different platforms that comprises of data lakes, databases, big data
management systems, warehouses, analytics and many other aspects. All these entities work in
collaboration like a data utility for delivering relevant management capabilities. But when
manual interventions are being carried out then the chances of errors also enhances. The new
system like AWS, big data or cloud computing aims at making sure that information stored
within them is precise, is available as per the requirements and can accessed easily through
which overall functionalities of firms can be amplified.
Problem statement
Information acts as critical asset for each organisation that enables them to deliver their
services in precise manner (Sanchez, Beak and Saxena, 2019). An instance can be taken into
consideration with respect to this aspect suppose if organisation do not have information related
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with their clients in terms of their preferences then there is a high probability that services
delivered by them will not be regarded by them as adequate as their requirements might not have
been addressed. Thus, it is important to ensure that information is maintained otherwise it leads
to wastage of human resources, raw materials, cost and efforts that are being made by the
organisation. But this is done in wrong direction. Therefore, for having a precise results or
outcomes it is necessary to have adequate information. Before the evolution of technology also
firms deliver their services and they face certain challenges while doing this (Sanchez, Beak and
Saxena, 2019). The other example can be taken to acknowledge this aspect like previously
Amazon or any other organisation made use of manual methods for making sure that they deliver
their services. But effort required was and high probability of errors, redundancies, cost and
cross verification of transactions also require more time. So, with the advent of time and
evolution of services that are being provided by Amazon Web Services will furnish them with
precise tools for dealing with the information.
Research aim
This is regarded as an efficacious entity within the dissertation as this assist researcher
within conducting complete research along with associated activities within the systematic as
well as planned manner through which prospective outcome can be attained. Research aim refers
a predetermined statement on which all the activities are dependent on while conducting research
(SGIT, 2019). This acts as a guide for research project which assists within carrying out analysis
of research through usage of distinct methods as well as measures within effectual manner for
accomplishment of the purpose of research. The goal of researcher behind this is to achieve aims
through execution of objectives as well as ensure that targets of research are attained in adequate
way. It is crucial element of research that aids within creation of statement with respect to the
research issue is depicted within the form of statement. In addition to this, it has to be measured
like an evidence that will lead to identify exact issues that have to resolved for attainment of
peculiar outcome. This aspect of research aids researcher to have exact direction for
accumulation of final outcomes. 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
1. To study the history of data management.
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