Authors:

Putu Audi Pasuatmadi, Ida Bagus Made Mahendra

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.”

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PDF:

https://jurnal.harianregional.com/jnatia/full-92531

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 Aplikasnya, [S.l.], v. 1, n. 1, p. 659-668, nov. 2022. ISSN 3032-1948. Available at: https://jurnal.harianregional.com/jnatia/id-92531. Date accessed: 18 May. 2024.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License