Big data and hadoop — A technological survey

Manika Manwal, A. Gupta
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引用次数: 10

Abstract

Generally, when we here a term “BIG DATA” many assumption and queries generate in our mind like when did this term Big Data came into the picture? What is it? Why we need it? How is it beneficial? There are many events which can be taken into consideration starting it from the ancient world to the modern world, data was always stored. Nowadays the enormous amount of data is been produced via many organizations e.g. Twitter, Facebook, LinkedIn etc. so thru Big Data huge amount of data with a varied variety can be stored, managed and processed. Big Data make sure that the accuracy and knowledge from the data are generated rapidly and provides benefit and convenience to the organizations, researchers, and consumers by accounting the properties of Volume, Value, Variety, Veracity, and Velocity. This study comprises of the introduction in which the Big Data is entailed in addition to this is its features and classification. Then this study talks about the hadoop and its architecture plus the components used in hadoop like HDFS, Map Reduce, Pig, Hive, Hbase, and Sqoop. In the conclusion part — a global valuation is tailedup.
大数据和hadoop -一项技术调查
通常,当我们提到“大数据”这个词时,我们脑海中会产生许多假设和疑问,比如“大数据”这个词是什么时候出现的?这是什么?我们为什么需要它?它是如何有益的?从古代世界到现代世界,有许多事件可以考虑,数据总是被存储的。如今,大量的数据是通过Twitter、Facebook、LinkedIn等许多组织产生的,因此,通过大数据,可以存储、管理和处理各种各样的大量数据。大数据通过计算Volume、Value、Variety、Veracity和Velocity的属性,确保数据的准确性和知识快速生成,为组织、研究人员和消费者提供利益和便利。本研究包括大数据的介绍,以及大数据的特点和分类。然后介绍了hadoop及其架构,以及hadoop中使用的HDFS、Map Reduce、Pig、Hive、Hbase和Sqoop等组件。在结论部分,全球估值被高估。
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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