The Impact of big data on software design. Research Paper

Impact of Big Data on Software Design
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Impact of Big Data on Software Design
Abstract
Each software/application is designed for a particular purpose. The developer has to find the optimal design to ensure the software achieves its intended purpose. However, in the age of big data, developers have been forced to find new approaches to strike a balance in providing a product that can meet its utility objectives to the user and allow data collection and processing into a more meaningful form. This article has explored how big data has impacted software development to achieve the aforementioned objective. It also details secondary methodology design which has reviewed existing literature to find out the impact of big data on software development. Additionally, the article has further analyzed the secondary data and drew conclusions.
Background Information
The tech industry is increasingly mining data for varied reasons. It has sparked heated debates on the data utility. Many tech firms cite that big data projects are to enable them to develop more intuitive products and experiences for users. The opposers of big data cite that data mining has become very lucrative and tech firms are selling the information to third party companies to develop targeted ads to the users. However, as data mining has brought a new set of opportunities to the tech industry. Thus, big data has birthed a new form of software design in which the user’s end is simply packaged to collect the data and avail utility of the software over the internet. Thus, the software is largely hosted by the tech firms in their data repository and the continued utility of the software hooks the user to their system to enable them to continually collect data. The tech firms then develop algorithms and complex analytical software to enable them to sift, sort and process the data for their intended purpose. Thus, one of the primary ways in which data has impacted software development is through necessitating creating client-side applications which can simply be summarized as Software as a Service (SAAS) CITATION Anj17 \l 1033 (Anjum & Budgen, 2017). The client has little control over the abstracted information flow between the software/application and the servers which whilst milking data allow the user to continue using the software. It has presented a new set of challenges to software designers and developers. Software designers and developers now have to design products which can mine data and address the privacy concerns pertinent to big data. Software has to be designed to seamlessly relay that data securely and quickly to the storage centers. The client-side stubs are now hugely hinged on the internet for an operation which enables the tech companies to ensure the users are mostly on the internet to enjoy the utility of the software.
Statement of the problem
Developers have to build products which can collect a variety of information including textual, multimedia among others. The big data application has to be designed to ensure it collects a variety of data. The main tool for collecting user’s information is portable devices mainly smartphones. The software developers also have to ensure they build their appl...