Real Time Big Data Analysis by Using Apache Kudu and NoSQL Redis in Web Applications

Pavel Petrov, Georgi Dimitrov (g.dimitrov@unibit.bg) and Oleksii Bychkov (bos.knu@gmail.com)
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Georgi Dimitrov: University of Library Studies and Information Technologies
Oleksii Bychkov: Taras Shevchenko National University of Kyiv, Ukraine

Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, 2020, vol. 9, issue 1, 26-34

Abstract: In the recent years data processing in Big Data applications are moving from a batch processing model to a live streaming processing model. The live streaming processing model allows to process data in a real time or near real time manner. In many cases, there are need of combining data from various sources - both new generated data and data previously gathered and archived. In each case a different storage mechanism is appropriate to achieve best flexibility and to avoid the so-called bottleneck when processing data. In this article we review some of the possibilities of using Apache Kudu and NoSQL Redis systems which made them suitable to be used together for fast processing of streaming data.

Keywords: Big Data; Hadoop; Kudu; Redis; NoSQL; Apache; PHP; web applications. (search for similar items in EconPapers)
JEL-codes: C88 O32 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:vra:journl:v:9:y:2020:i:1:p:26-34

DOI: 10.36997/IJUSV-ESS/2020.9.1.26

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