Speed Performance Analysis of Big Data Processing with Micro Batching at the ETL Process for Event-Data

  • Putu Audi Pasuatmadi Universitas Udayana
  • Ida Bagus Made Mahendra Udayana University

Abstract

Speed performance in Big Data Processing is one of the key aspect of presenting a real-time data for a real-time analysis in various use cases. One of such data is an Event-Data or an Activity Data that is often used for making analysis and business decisions in real-time. This research focuses on analyzing the speed performance of Big Data Processing in the Load stage of Extract, Transform, Load using Micro-Batching. The speed performance is evaluated using Load-Testing with K6 and the configuration of 10 VUs and 10000 data. The Load-Testing results of the speed performance shows that implementing Micro-Batching results in 63.63% faster in performing all the request, 59.03% faster in HTTP Request Duration, and 62% faster in HTTP Request Waiting duration.

Published
2022-11-25
How to Cite
PASUATMADI, Putu Audi; MAHENDRA, Ida Bagus Made. Speed Performance Analysis of Big Data Processing with Micro Batching at the ETL Process for Event-Data. Jurnal Nasional Teknologi Informasi dan Aplikasinya (JNATIA), [S.l.], v. 1, n. 1, p. 659-668, nov. 2022. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/92531>. Date accessed: 27 jan. 2023.

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