Big Data and Cloud Computing

Advanced Deep Learning Applications in Big Data Analytics Pub Date : 1900-01-01 DOI:10.4018/978-1-7998-2791-7.ch002

R. P. França, Y. Iano, Ana Carolina Borges Monteiro, Rangel Arthur

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Abstract

Big data is the analysis and interpretation of large volumes of data of great variety. This requires big data-specific solutions that enable IT professionals to work with unstructured information at a great speed. Cloud computing is the on-demand delivery of computing power, database storage, applications, and other IT resources over the internet with a price set according to usage. The relationship between cloud and big data is narrow, where the first is the infrastructure that, in a corporate environment, supports the second, which has enough capacity to process data in large numbers. The connection between these concepts is due to the fact that, in order to deal with big data, an infrastructure is needed that allows the storage, processing, and retrieval of the most varied types of data on a large scale, that is, it has a constant growth. Therefore, this chapter aims to provide an updated review of big data and cloud computing, showing and approaching its success relation with a concise bibliographic background, categorizing and synthesizing the potential of both technologies.

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大数据和云计算

大数据是对大量不同种类数据的分析和解释。这需要特定于大数据的解决方案，使IT专业人员能够快速处理非结构化信息。云计算是在互联网上按需交付计算能力、数据库存储、应用程序和其他IT资源，并根据使用情况设定价格。云和大数据之间的关系很窄，前者是在企业环境中支持后者的基础设施，后者有足够的能力处理大量数据。这些概念之间的联系是由于这样一个事实:为了处理大数据，需要一种基础设施来允许大规模地存储、处理和检索最不同类型的数据，也就是说，它具有不断增长的能力。因此，本章旨在提供大数据和云计算的最新回顾，以简明的书目背景展示和接近其成功关系，分类和综合这两种技术的潜力。

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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Advanced Deep Learning Applications in Big Data Analytics

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