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

Author

Listed:
  • Pavel Petrov

    (University of Economics - Varna)

  • Georgi Dimitrov

    (University of Library Studies and Information Technologies)

  • Oleksii Bychkov

    (Taras Shevchenko National University of Kyiv, Ukraine)

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.

Suggested Citation

  • Pavel Petrov & Georgi Dimitrov & Oleksii Bychkov, 2020. "Real Time Big Data Analysis by Using Apache Kudu and NoSQL Redis in Web Applications," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 9(1), pages 26-34, April.
    • Handle: 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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    References listed on IDEAS

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    1. Pavel Petrov & Nikolay Valov, 2019. "Digitalization of Banking Services and Methodology for Building and Functioning of Fintech Companies," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(1), pages 110-117, April.
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    Cited by:

    1. Stefka Petrova & Svetoslav Ivanov, 2020. "Integration of a Distributed Hadoop System into the Infrastructure of a Technology Startup Company," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 9(2), pages 76-84, August.

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      More about this item

      Keywords

      Big Data; Hadoop; Kudu; Redis; NoSQL; Apache; PHP; web applications.;
      All these keywords.

      JEL classification:

      • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
      • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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