处理大数据的技术和趋势:调查

Sunaina Sharma, V. Mangat
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引用次数: 32

摘要

“大数据”(Big Data)是一个一夜之间从本源蹿升的术语。它可以被描述为以极快的速度保存、分发、管理、可视化和分析大型数据的创新技术和方法,以及管理非结构化和无法结构化的大量数据的方法。大数据预测结论能力强,成本消耗低,在交通管制、天气预报、防灾减灾、金融管理、防欺诈、改善商业交易、控制国家安全、改善教育、医疗保健等领域提高效率,增强决策能力。分析大数据是一项具有挑战性的任务,因为它涉及大型分布式文件系统,需要容错、灵活和可扩展。可以使用各种技术来处理大数据。这些技术可以处理MB、PB、YB、ZB、KB和TB的大量数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technology and Trends to Handle Big Data: Survey
"Big Data" is a term that have jumped overnight from its roots. It can be described as an innovative technique and technology to save, distribute, manage, visualize and analyze larger-sized data with extreme velocity and methods to manage unstructured and structure incapable amount of data. Big data has high capacity to predict conclusion, with low cost consumption, increase efficiency and enhance decision-making in various fields like traffic control, weather prediction, disaster prevention, finance management, fraud control, improve business transaction, control on national security, education improvement, and health care. Analyzing Big Data is a challenging task as it involves large distributed file systems which should be fault tolerant, flexible and scalable. Various technologies can be used to handle the big data. These technologies handle massive amount of data in MB, PB, YB, ZB, KB, and TB.
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