High-Speed Big Data Streams: A Literature Review

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Abstract

In today’s word, high-speed data streams are continuously generated via a variety of sources like social media and organizational business related data. We have listed the basic characteristics of big data and challenges in handling big data and data streams. This paper shows present work on processing and analyzing big data and data streams, real-time data analytics, decision making, and business intelligence. Our aim is to research different trends in distributed data analysis, a study on security of big data, applications of big data and processing of data streams. Even though there is vast research happening in the field of big data across the globe, still there is a scope of improvement in this field.

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Patil Sneha, R., & Dharwadkar Nagaraj, V. (2020). High-Speed Big Data Streams: A Literature Review. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 44, pp. 308–316). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-37051-0_36

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