An Examination Of Big Data And Blockchain Technology
S. Dhanalakshmi1, G. Charles Babu2
1S. Dhanalakshmi, Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College (Autonomous), Telangana, India.
2G.Charles Babu, Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College (Autonomous), Telangana, India.
Manuscript received on 22 August 2019. | Revised Manuscript received on 05 September 2019. | Manuscript published on 30 September 2019. | PP: 3118-3122 | Volume-8 Issue-11, September 2019. | Retrieval Number: K24970981119/2019©BEIESP | DOI: 10.35940/ijitee.K2497.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Blockchain technology is the process of development of bitcoin, the blockchain technology as a distributed ledger of cryptocurrency transactions for digitized, decentralized, trusted and secured manner. The mainstream of blockchain technology is bitcoin, bitcoin concept made with ledger of every single transaction, transactions allows for hashing mechanism to verify the large amounts of data. Big data task requires that large amount of computational space, to generate the terabytes of data for ensuring the successful data processing techniques. The major impact on big data analytics requires more number of data and generated data can be depending upon different sectors from different organizations. This paper presents a state of definition, characteristics, transaction process, and applications, along with discussion of big data analytics are introduced. In blockchain technology covers the flaws of big data in fruitful relationship, with the factors of security, transparency, decentralization and flexibility, so that data to be analyze in different and efficient way for organizations all sizes in data analytics form.
Keywords: Big Data, Blockchain, Bitcoin, Cryptocurrency, Classification, Components, Use Cases.
Scope of the Article: Big Data Analytics