International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




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Informative Article | Computer Science and Information Technology | China | Volume 10 Issue 3, March 2021


Real-Time Stream Processing of Big Data

Denis Patrick Bell, Eliasu Tambominyi, Yang Chunting


Abstract: The evolution of technology has enabled the continuous generation of massive data from connected devices and sensors. As, more data becomes available, organizations are using cutting-edge tools and techniques to extract useful insight from the data immediately they are generated. Therefore, the enterprise systems are evolving and shifting towards real-time systems. So, there is a growing need for well-developed fault tolerant distributed scalable systems to handle this change with low latency. Recent years have seen the emergence of several distributed systems whose popularity is as a result of the growing demand to efficiently analyze and interpret voluminous data. This article will discuss distributed real-time stream processing of big data, the two main real-time big data processing architectures: Lambda and Kappa and the popular frameworks used for processing real time big data.


Keywords: Real-time data processing, Big data, Batch processing, Lambda & Kappa architecture


Edition: Volume 10 Issue 3, March 2021,


Pages: 1247 - 1252


How to Cite this Article?

Denis Patrick Bell, Eliasu Tambominyi, Yang Chunting, "Real-Time Stream Processing of Big Data", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR21320045639, Volume 10 Issue 3, March 2021, 1247 - 1252

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