A Study of Big Data and Classification of NoSQL Databases

Jeelani Ahmed, Muqeem Ahmed
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Abstract

Today, Big Data is the main topic of discussion everywhere due to its huge popularity as its getting generated in a huge volume in every second. It is getting huge consideration and gratitude because of its wide research area and application scenarios. Large scale, bulky, quick changes, huge growth in data is generally stated as Big Data. Data that is obtained from a wide variety of sources are usually in a format of structured, unstructured or semi-structured data. Many times big data is collected from multiple application sources, so there is a presence of structural heterogeneity. This problem of structural heterogeneity is one of the major challenges for researchers around the world and can be overcome using big data Integration. As big data refers to the data in large volumes, available in different formats and generated at extraordinary speed so to capture, process and analyze this kind of data becomes difficult using traditional data processing tools. These difficulties can be overcome using big data management tools and techniques. Big Data Integration and Management are very crucial, revolutionizing the industries and has many applications in all sectors of human life. This paper discusses brief information about big data, its history, integration issues, and available management methods and tools.
大数据与NoSQL数据库分类研究
今天,大数据是讨论的主要话题,因为它的巨大的受欢迎程度,因为它每秒钟都在产生巨大的量。由于其广泛的研究领域和应用场景,它得到了人们极大的关注和感谢。规模大、体积大、变化快、增长快的数据通常被称为大数据。从各种各样的来源获得的数据通常采用结构化、非结构化或半结构化数据的格式。很多时候,大数据是从多个应用程序来源收集的,因此存在结构异构性。这种结构异质性问题是世界各地研究人员面临的主要挑战之一,可以通过大数据集成来克服。由于大数据是指数据量大、格式多样、生成速度快的数据,因此使用传统的数据处理工具很难捕获、处理和分析这类数据。使用大数据管理工具和技术可以克服这些困难。大数据的整合与管理是非常重要的,它给行业带来了革命性的变化,在人类生活的各个领域都有很多应用。本文讨论了关于大数据的简要信息,它的历史,集成问题,以及可用的管理方法和工具。
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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