Big Data Processing: A review

Taufik Gusman, Mohammad Naeemullah, Adeeb Mansoor Qasim
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Abstract

Big data processing is a rapidly growing field that involves the collection, storage, and analysis of extremely large and complex data sets. It has the potential to transform the way organizations operate and make decisions, and it has been used in a wide range of industries and applications, including e-commerce, financial services, transportation, and more. In this paper, we provide an overview of big data processing, including its definitions, characteristics, and challenges. We also discuss the tools and technologies that are commonly used for big data processing, as well as the ethical considerations that are associated with this technology. Finally, we look at the future directions of big data processing and the trends and developments that are likely to shape this field in the coming years.
大数据处理:综述
大数据处理是一个快速发展的领域,涉及对极其庞大和复杂的数据集的收集、存储和分析。它有可能改变组织运作和决策的方式,并已广泛应用于各种行业和应用,包括电子商务、金融服务、交通运输等。在本文中,我们概述了大数据处理,包括其定义、特征和挑战。我们还讨论了通常用于大数据处理的工具和技术,以及与该技术相关的道德考虑。最后,我们展望了大数据处理的未来方向,以及未来几年可能塑造这一领域的趋势和发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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