面向数字世界的大数据分析研究综述

Sayali S. Gaikwad, P. Nale, R. Bachate
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引用次数: 5

摘要

每天都会产生千万亿字节的数据;其中90%是在过去两年中创建的,因此它可以预测未来将产生的数据量。有必要介绍一些技术来分析如此庞大的数据,以面对挑战,并处理“大数据分析”的局限性。这种大数据分析几乎可以用于现代社会的各个方面,包括移动服务、零售和消费者服务、制造业、商业智能、金融服务和机器人。本文的动机是了解大数据是如何产生的,以及分析这些数据的必要性。本文还简要介绍了大数据分析在现实世界中的意义及其在各个领域中的作用以及挑战和优势。本文还探讨了数字世界中不同领域的大数据分析的各种技术、算法和系统。
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Survey on Big data Analytics for digital world
Every day quintillion bytes of data is generated; 90% of which has been created in the last two years alone, from this it can predict the amount of data that will be generated in future. It is necessary, to introduce some techniques for analyzing such a huge amount data to face the challenges and to deal with limitation of ‘Big data Analysis’. Such Big Data analysis can be used nearly in every aspect of our modern society, including mobile services, retail and consumer services, manufacturing, business intelligence, financial services and robotics. The motive of this paper is to understand how big data is generated and the necessity of analyzing such data. This paper also gives a short glimpse of Big Data analysis implications in the real world and its role in every field along with challenges and advantages. This paper also explores various techniques, algorithms, systems of big data analytics in various sectors of digital world.
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