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The application of big data in the insurance market

  • Kuldeep Singh Kaswan*
  • , Jagjit Singh Dhatterwal
  • , Reenu Batra
  • , Kiran Sood
  • , Simon Grima
  • *Corresponding author for this work
  • Galgotias University
  • Koneru Lakshmaiah Education Foundation
  • Shree Guru Gobind Singh Tricentenary University
  • Usak University
  • Chitkara University
  • University of Malta

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

The term "big data" was used to characterise the enormous quantities of data that conventional techniques for managing such data cannot handle. Big data is crucial in numerous fields, such as agriculture, banking, data mining, education, chemistry, finance, cloud technology, marketing, and healthcare stocks. Analysis of massive datasets for hidden insights and previously unexplained correlations that might guide strategic planning and decision-making is known as "big data analytics. " Big data's rising popularity may be attributed to its fast growth and many applications, such as Apache Hadoop, an open-source technology written in Java and supported by the Linux platform. The primary objective of this chapter is to provide a suitable and free option for big data applications in a network system and to discuss its advantages and simplicity of usage.

Original languageEnglish
Title of host publicationThe Application of Emerging Technology and Blockchain in the Insurance Industry
PublisherRiver Publishers
Pages91-116
Number of pages26
ISBN (Electronic)9788770040051
ISBN (Print)9788770040068
Publication statusPublished - 8 Oct 2023
Externally publishedYes

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