Cross Data Analysis Platform based on Big Data Paradigm

Big data analytics is a new approach to data-driven decision-making that involves identifying patterns, trends, and correlations in vast amounts of unprocessed data. Newer tools and infrastructures like Hadoop and Spark are dedicated to this, but switching to a complex technology is difficult, espec...

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Bibliographic Details
Published in:	2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService) pp. 161 - 162
Main Authors:	Zemmouri, Mohamed, Laalam, Fatma Zohra, Himeur, Yassine, Oulefki, Adel, Kazar, Okba, Toumi, Chahrazad, Mansoor, Wathiq, Attala, Shadi, Belhadi, Abderrahmen, Mesbahi, Nadjib
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-07-2023
Subjects:	Big Data Big Data Analysis Computer architecture Data analysis Decision making Design Pattern MapReduce Soft sensors Sparks Switches
Online Access:	Get full text
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Summary:	Big data analytics is a new approach to data-driven decision-making that involves identifying patterns, trends, and correlations in vast amounts of unprocessed data. Newer tools and infrastructures like Hadoop and Spark are dedicated to this, but switching to a complex technology is difficult, especially in production domains. This article proposes a new computational paradigm that introduces a decision-making system as a higher-level layer to provide data analysis based on the deployed systems rather than altering the environment. The system is advantageous as it provides a modular, reusable, and independent decisional system that is compatible with any information system or data source.
DOI:	10.1109/BigDataService58306.2023.00035