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A Review on Big Data with Data Mining

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Data Science and Intelligent Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 52))

Abstract

Data mining is a procedure of driving hidden, unknown but potentially convenient information from massive data. While big data presents technologies for assembling, processing, analyzing and extracting convenient data from very huge volumes of structured and unstructured data processed by various sources at high speed, big data has great impacts on scientific discoveries and value creation. This paper defines the 5Vs of Big data along with the distinction of big data and big data analytics followed with the architecture of big data. Some tools representing Hadoop ecosystem are also presented.

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Correspondence to Shreya Patel .

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Prajapati, M., Patel, S. (2021). A Review on Big Data with Data Mining. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_17

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