Big Data Techniques:, A Survey

Jamal N. Hasoon, Assist. Prof. Dr. Rehab Hassan
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引用次数: 2

Abstract

Big data refer to the large volume of data, it can be analyzed for strategic Developing and better decisions. Big Data applications exaggerate in near few years because a traditional data techniques be limited specification. Various types of distributions and technologies used to suffer the Big Data challenges are developed. A survey of recent technologies are review for Big Data. The main technologies features are studied enable to extract knowledge from Big Data. Such distributions have some limitations and may differ in offerings and capacities. The used technologies face the increasing multi-streams and Big Data challenges. In this work review the big data technologies and challenge.
大数据技术:调查
大数据是指大量的数据,它可以分析战略发展和更好的决策。由于传统数据技术规范的限制,大数据的应用在近几年内将会扩大。各种类型的分布和技术被用来应对大数据的挑战。对大数据的最新技术进行了综述。研究了从大数据中提取知识的主要技术特点。这些发行版有一些限制,可能在产品和功能上有所不同。所使用的技术面临着越来越多的多流和大数据的挑战。本文综述了大数据技术及其面临的挑战。
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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