The Main Big Data Solution Pillars: How to Effectively Model and Manage the Massive Data Deluge?

Rania Mkhinini Gahar and Minyar Sassi Hidri
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Rania Mkhinini Gahar: OASIS Research Laboratory, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia
Minyar Sassi Hidri: Computer Department, Deanship of Preparatory Year and Supporting Studies, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

Journal of Information & Knowledge Management (JIKM), 2025, vol. 24, issue 01, 1-33

Abstract: In today’s data-driven world, the volume of information produced daily is staggering. Without a robust data engineering strategy, companies face the risk of prolonged delays, decreased productivity, dissatisfied customers, and strained business relationships. Effective data management and data modelling are critical for transforming this vast amount of information into valuable insights that drive business growth and provide a competitive edge. By gathering and analysing data through these methods, businesses can make informed decisions that significantly impact their growth and success. Data modelling and data management are both critical components of working with data, but they focus on different aspects of handling and utilising data within an organisation. Understanding the distinction between these two areas is crucial for effectively managing data within an organisation and ensuring that data systems are well-designed and properly maintained. By delving into the specifics of data modelling and data management, this paper aims to provide a comprehensive understanding of how these practices can be leveraged to enhance organisational efficiency, productivity, and decision-making. We provide a comprehensive and insightful exploration of data modelling and data management while highlighting their critical roles in modern business environments.

Keywords: Big data; data modelling; data management; data analytics; complex data (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S021964922450093X

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