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Bitcoin Data Analytics: Exploring Research Avenues and Implementing a Hadoop-Based Analytics Framework

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dc.contributor.author Bhatia, Ashutosh
dc.date.accessioned 2024-10-15T10:32:17Z
dc.date.available 2024-10-15T10:32:17Z
dc.date.issued 2020-03
dc.identifier.uri https://link.springer.com/chapter/10.1007/978-3-030-44038-1_17
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16099
dc.description.abstract Bitcoin is the most successful cryptocurrency since its inception in 2009 [30]. There are 18.1 million BTCs in circulation as of December 2019, which roughly translates to 149 Billion USD [12]. With Bitcoin’s substantial market capitalization and unique features like pseudo-anonymity and immutability, it draws much attention from the researchers across the world. Despite this enormous spotlight towards Bitcoin, it remains under-researched because of the large size of the Bitcoin Data, (Roughly 250 GB) and the inability to process this data in small time. To explore avenues for further research, this article presents a survey of the recent advancements done regarding the big data analytics of the Bitcoin Cryptocurrency. Furthermore, we propose an analysis framework based on the Apache Hadoop ecosystem. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Computer Science en_US
dc.subject Bitcoin en_US
dc.subject Data Analytics en_US
dc.title Bitcoin Data Analytics: Exploring Research Avenues and Implementing a Hadoop-Based Analytics Framework en_US
dc.type Article en_US


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