Blockchain integration in big data: Review, vision, and opportunities

Abstract

Big data has attracted extensive attention from industries and universities during the past few years. Big data is crucial in many fields, such as business analytics, healthcare, the Internet of Things (IoT), smart home, supply chain, transportation, and fraud detection. Nevertheless, some challenges must be addressed, such as decentralization, integration, data sharing, privacy, and security. On the other hand, blockchain has numerous potential for improving big data services and applications because of its decentralized, verifiable, and anti‐tamper features. We apply the Systematic Literature Review (SLR) approach in this study to investigate blockchain integrity in big data and understand the different topics and significant areas already presented. This paper aims to analyze studies on blockchain integration in big data published between 2017 and 2022. A technical taxonomy is presented for blockchain integration into big data, including data storage, security, and applications based on the field of articles selected by the SLR method. Finally, the achievements and shortcomings of each study are discussed, and future research challenges and open issues related to blockchain integration in big data are highlighted.