Prioritized Property-Value based Data Modelling for Big Data
Sai Jyothi Bolla1, S. Jyothi2, Y. Rajesh3
1Sai Jyothi Bolla, Department of Computer Science,Sri Padmavathi Mahila Viswavidyalayam,Tirupati, Andhrapradesh, India.
2S. Jyothi, Department of Computer Science,Sri Padmavathi Mahila Viswavidyalayam, Tirupati, Andhrapradesh, India.
3Y. Rajesh, Department of Information Technology,Vasireddy Venkatadri Institute of Technology, Guntur, Andhrapradesh, India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 701-705 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I11450789S219/19©BEIESP DOI: 10.35940/ijitee.I1145.0789S219
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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: In the present era, as technology is emerging widely data storage is also increasing its volume or space of storage enormously; which is the current buzz defined as Big Data. Existing Big Data modelling includes mostly in handling structured data but no defined approach was designed for modelling Big Data which includes structured, semi-structured and unstructured data. Among the existing challenges on Big Data, the most imperative challenge is modelling Big Data. This paper proposes a generic modelling approach for modelling Big Data. The effectiveness of this innovative approach is sensed by modelling oncology data using MongoDB. This modelling facilitates ease analytics and is independent of context.
Keywords: Big Data, Data Analytics, Data Modelling, MongoDB
Scope of the Article: Big Data Analytics for Social Networking using IoT