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All Journal Jurnal Ilmiah Poli Rekayasa Elektron Jurnal Ilmiah JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Engineering JITSI : Jurnal Ilmiah Teknologi Sistem Informasi AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat International Journal of Advanced Science Computing and Engineering
Ronal Hadi
Politeknik Negeri Padang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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A Review on Big Data Stream Processing Applications: Contributions, Benefits, and Limitations Alwaisi, Shaimaa Safaa Ahmed; Abbood, Maan Nawaf; Jalil, Luma Fayeq; Kasim, Shahreen; Mohd Fudzee, Mohd Farhan; Hadi, Ronal; Ismail, Mohd Arfian
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.737

Abstract

The amount of data in our world has been rapidly keep growing from time to time.  In the era of big data, the efficient processing and analysis of big data using machine learning algorithm is highly required, especially when the data comes in form of streams. There is no doubt that big data has become an important source of information and knowledge in making decision process. Nevertheless, dealing with this kind of data comes with great difficulties; thus, several techniques have been used in analyzing the data in the form of streams. Many techniques have been proposed and studied to handle big data and give decisions based on off-line batch analysis. Today, we need to make a constructive decision based on online streaming data analysis. Many researchers in recent years proposed some different kind of frameworks for processing the big data streaming. In this work, we explore and present in detail some of the recent achievements in big data streaming in term of contributions, benefits, and limitations. As well as some of recent platforms suitable to be used for big data streaming analytics. Moreover, we also highlight several issues that will be faced in big data stream processing. In conclusion, it is hoped that this study will assist the researchers in choosing the best and suitable framework for big data streaming projects.
Co-Authors - Yulherniwati Abbood, Maan Nawaf Abd-Alwahab, Shams N. Alde Alanda, Alde Aljanabi, Mohammad Alwaisi, Shaimaa Safaa Ahmed Anggara Nasution Aprinal Adila Asril Ariani Tanjung Benny Chandra Chairani, Fitri Dedy Prayama Defni Defni, - Dwiny Meidelfi Ebraheem, Hind Raad Faizi, Abel Ardhya Fanni Sukma Febrian Kasmar, Andre Friadi, John Fryonanda, Harfebi Gusman, Taufik Hafizun, Altaf Hanriyawan Adnan Mooduto Heru Samudera Hidayaturrahman Hidra Amnur humaira Humaira, Humaira Ismail, Mohd Arfian Jalil, Luma Fayeq kurnia, rahmi putri Lifwarda Lifwarda Maria, Popi Medrofa, Arnila Cahya Meri Azmi Meri Azmi Mohd Fudzee, Mohd Farhan Mooduto, H.A Nadia Alfitri Novirwan Trinanto Nurhatisyah Nurhatisyah Oni Guspari Rahmi Wardani Rasyidah, - Rd. Rohmat Saedudin Rika Idmayanti Rita Afyeni Roni Putra Roni Putra Sariani Shahreen Kasim, Shahreen Suhelmidawati, Etri Sukma, Fanni Syofiardi, Syofiardi Taruma Leo Wijaya Tuti Azra Wardhani, Aditya Wina Rahma Fitri Windayati, Diana Titik Yarmis Yuliana Yefriadi Yefriadi Yul Antonisfia Yulherniwati Zahra, Suci Khairatuz