Traditional data analytics has been replaced with the advent of big data analytics that is essentially able to consume huge amounts of data at a time. Both the structured and unstructured data are navigated through the components of the big data analytics in the relational database management system in a more organized way. The useful point is that the parts of the analytics remain consistent whether or not it works with a small dataset. Technology has joined the hand in expertise in the tools, and techniques in big data analytics. Computer programming, data warehousing, computational frameworks, statics, and business knowledge are developing very fast through the application of big data analytics. Especially in the Covid-19 pandemic situation, the role of this new technology has grabbed a notable place in the financial markets. The computational framework has provided important aspects of clearing the blocks easily. Here in this article, the different tools of techniques of big data analytics are described, along with its working procedures. The major purpose of this study is to focus on the usefulness of big data analytics in the pandemic time. This article has been developed based on secondary qualitative data. The discussion in this article has analyzed the increasing use of big data analytics in financial places. Keeping the role of the analytics in focus the growing tendencies are discussed in the context of financial goals. Formal education in this study addresses the effective ways of analyst skill which would be beneficial in providing a better understanding of the topic and providing innovative ideas in times of crisis.
CITATION STYLE
Tanwar, S., Mittal, M., Jebitta, R., Sreenivasulu, Mohanty, D., & Durga, S. (2024). Analyze digital images by improving the methods of advanced big data analytics and its impact on finance management during Covid-19 outbreaks. In AIP Conference Proceedings (Vol. 2816). American Institute of Physics. https://doi.org/10.1063/5.0178380
Mendeley helps you to discover research relevant for your work.