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Fast Data vs. Big Data With IoT Streaming Analytics and the Future Applications

Fast Data vs. Big Data With IoT Streaming Analytics and the Future Applications
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Author(s): A. Jayanthiladevi (Jain University, India), Surendararavindhan (Vignan's University, India)and Sakthivel (KSR College of Technology, India)
Copyright: 2022
Pages: 16
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch092

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Abstract

Big data depicts information volume – petabytes to exabytes in organized, semi-organized, and unstructured information that can possibly be broken down for data. Fast data are facts streaming into applications and computing environments from hundreds of thousands to millions of endpoints. Fast data is totally different from big data. There is no question that we will continue generating large volumes of data, especially with the wide variety of handheld units and internet-connected devices expected to grow exponentially. Data streaming analytics is vital for disruptive applications. Streaming analytics permits the processing of terabytes of data in memory. This chapter explores fast data and big data with IoT streaming analytics.

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