使用Hadoop和Spark工具实施大数据的现状和重要性

IF 0.1 Q4 ENGINEERING, MULTIDISCIPLINARY
Lina Suárez, G. Restrepo
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引用次数: 0

摘要

在本文中,通过Hadoop和Spark工具对大数据的相关性和重要性进行了回顾。首先,大数据概念是由不同的作者语境化的,并参考了它在不同组织中的重要性,以实施大数据时必须存在的三个V (Volume, Variety和Speed)为前提。然后,分析了Hadoop和Spark工具,确定了它们能够更高效地处理大量数据,不同类型的数据和高速数据的能力,解决了之前要处理大量数据时出现的问题。最后,对大数据在组织决策中的重要性进行了反思,考虑到决策可以使组织具有竞争力并持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Actualidad e importancia de la implementación de Big Data utilizando las herramientas Hadoop y Spark
In the present article, a review was made on the relevance and importance of Big Data through the Hadoop and Spark tools. First the Big Data concept is contextualized from different authors and making reference to its importance in the different organizations, having as a premise, the three V  that must be present when implementing Big Data (Volume, Variety and Speed). Then, the Hadoop and Spark tools are analyzed, identifying their capacity to make more efficient the processing of large volumes of data, of different types of data and at a high speed, solving the problems that arose before when many data were going to be worked on. Finally, a reflection is made on the importance of Big Data in the decision-making of an organization, taking into account that decision-making allows an organization to be competitive and to last over time.
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来源期刊
Revista Digital Lampsakos
Revista Digital Lampsakos ENGINEERING, MULTIDISCIPLINARY-
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