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Real-Time Stream Processing of Big Data

Journal: International Journal of Science and Research (IJSR) (Vol.10, No. 3)

Publication Date:

Authors : ;

Page : 1247-1252

Keywords : Real-time data processing; Big data; Batch processing;

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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.

Last modified: 2021-06-26 18:42:03