Big Data in Cloud Computing: Techniques, Challenges, and Future Trends

BIG DATA

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Contents
Introduction...........................................................................................................................................1
Why Big Data in cloud..........................................................................................................................1
Techniques used in Cloud Computing...................................................................................................2
Possible future developments................................................................................................................5
Conclusion.............................................................................................................................................5
References.............................................................................................................................................6

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Introduction
Big data is known as an area that suggests methods to evaluate, extract information from
anywhere systematically, or else deal with the too large data section which otherwise
considered to be complex and might not be effectively managed through data-processing
application software which was traditional. There are several challenges that are confronting
this technology (Stephenson, 2013). This includes data capture, data storage, data analysis,
sharing, search, visualization, updating, transferring as well as the problems related to privacy
of data and its source. Cloud computing has become a major part in the modern day business
as data has become an integral part of the business. The best thing about this technology is
that it is available as per the IT resource’s demand, especially the power of computing and
storing data lacking direct active management by the individual. It is a term that is usually
utilising for defining data centres available to several users over the internet (Antonopoulos
& Gillam, 2010). Since different companies have different data requirements hence cloud
computing infrastructure varies with it. This cloud computing is able to resolve many
problems of the company related to management of data. There are three kinds of service
delivery models being used which might be divided as Software as a service (SaaS), Platform
as a service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing is generally
categorised on two basis one by cloud computing location and other is offered kinds of
service. Some of the key techniques that is utilised in cloud computing are data storage
technology, technology for data management and task scheduling model as well as
programming model.
Why Big Data in cloud
In big data, there is manipulation of petabytes of data. Such a huge amount of data can be
easily managed in measurable environment of cloud hence making it likely to transport data-
intensive applications which powers business analytics. Major benefit of using cloud is that it
simplifies collaboration and connectivity within a firm. This allows workers to have access to
appropriate analytics and hence rationalizes data sharing. IT leaders can easily understand the
benefits of placing big data within the cloud (Chan, 2018). It might not be so simple for
normal executives or any other kind of stakeholders. Big data in cloud computing provides
executives with better way to boost decision making that is data driven. By effectively
tracking defects and optimisation of supply chain can be made easier with assistance to
material data on hand. With the help of data customer engagement and loyalty can be