UNLOCKING SYNERGIES: EXPLORING THE COLLABORATIVE FRONTIER OF BIG DATA AND BLOCKCHAIN NETWORKS

Authors

  • Aneeqa Zahid
  • Amna Firdous
  • Malik Daler Ali Awan
  • Muniba Saleem
  • Amna Ikram
  • Arfa Maham

Keywords:

BigData; Blockchain; Collaborative Frontier of Big Data and Blockchain; TPM; Encryption; Homomorphic Alogorithm.

Abstract

We are living in the era when the volume of data is increasing exponentially and there is an in-creased need to utilize safe-reliable means of managing the mammoth levels of genuine data that accompany the surfaces of crossbreeding of both bigdata and block-chain technologies. This research contains a rigorous discussion about the possible commonalities of the two dis-eruptive technologies, Unlocking Synergies: Exploring the Collaboration Frontier of Big Data and Blockchain Networks. This article defines a set of advantages and issues of combining big data and blockchain networks by means of a broad literature analysis and an overview of trends. The project will also explore the technical manner in which these systems will be integrated such as the type of data storage, efficiency and management of processing and security to be required keeping the privacy intact. This work explains the case-studies as well as practical implementations in how blockchain can enhance data integrity, provenance and lineage in big-data environment. Other blockchain applications also include data analytics big data. These insights reveal that coordinated strategies can land on strong and productive data ecosystems, which may develop novelty in the healthcare sector, finance or supply chain business. Therefore, this work sets out to address the academic landscape by proposing a comprehensive new framework which explains how big data and blockchain interact with each other in order that their conjoined effect can be used for transformative purpose.

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Published

2025-11-04

How to Cite

Aneeqa Zahid, Amna Firdous, Malik Daler Ali Awan, Muniba Saleem, Amna Ikram, & Arfa Maham. (2025). UNLOCKING SYNERGIES: EXPLORING THE COLLABORATIVE FRONTIER OF BIG DATA AND BLOCKCHAIN NETWORKS. Spectrum of Engineering Sciences, 3(10), 1765–1779. Retrieved from https://thesesjournal.com.medicalsciencereview.com/index.php/1/article/view/1489