Abstract

Big data is considered a remarkable aspect of development communication and information systems. In terms of delivery, retrieval, and storage, a vast volume of complex data exceeds the capability of conventional software and device capabilities. As a result, advanced alternative solutions that allow their control flow is becoming more prevalent. One of the most difficult fields of information management and technology is the real-time management, analysis, and processing of big data. These issues can be seen in a large amount of everyday produced data in a variety of places, including online social networks and the method of logging cell phone data. This survey looks at several studies that use a range of methods to handle, interpret, and process big data in real-time. Hence, the objective of this survey is to provide a comprehensive overview of the integration between real-time and big data fields of study with the field of E-learning. Finally, this survey also presents the colorful aspects of big data and their relationship to E-learning domains such that e-learning platforms, big data frameworks, and datasets used.

Highlights

  • Big data is an evolving term that describes a very large amount of structured and unstructured data that can be analyzed mathematically to obtain methods, relationships, and linkages, especially those related to human behavior and interaction, to the effects of what we do in the information age [1]

  • Providing an advanced unified electronic educational platform suitable for a large group of universities, the research presented by authors Logica and Magdalena [9] discussed aspects related to developing big data, how to apply it to e-learning, and its impact on the universal environment

  • To meet real-time requirements and bypass heterogeneity in the real-time big data processing (RTDP) framework, the model stores a multi-level and publishing process that relies on the learning management Systems (LMS) educational system, and through the use of a set of techniques for analyzing big data such as MapReduce, the data was organized and uploaded to the cloud server

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Summary

Introduction

Big data is an evolving term that describes a very large amount of structured and unstructured data that can be analyzed mathematically to obtain methods, relationships, and linkages, especially those related to human behavior and interaction, to the effects of what we do in the information age [1]. Through the Internet, computers, or our mobile phones, which describes this vast amount of information [2]

Overview
E-Learning
Big Data
Real-Time Data Stream Processing
Big Data with other Domains
Techniques for Big Data and Online Systems
Limitation
Conclusion
Full Text
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