The Rise of Robotics Data for Real-Time Management Based on New NoSQL Solution

Afef Gueidi, H. Gharsellaoui, S. Ahmed
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Abstract

In the face of the rapid growth of data, the authors note the birth of new computer systems leading the management of databases. To ensure reliable handling of data which is bulky and heterogeneous, new systems of basic management data are differentiated from traditional ones by their linear scalability to store and manage data in parallel. Those systems are called NoSQL DB. Robotics database management systems are increasing. These systems ensure good storage of data and with big data analytics, a new approach demands new structures and methods for collecting, recording, and analyzing enterprise data. This journal article deals with the NoSQL DB which are the secret of the continual progression data that new data management solutions have emerged. The implementation of NoSQL for Robotics wrestles all data they acquire into a usable form because with the ordinary type of Robotics, people are facing big limits to find the best decision in real-time. The authors' proposed approach was based on a combination of some experimental studies in the same area.
基于新的NoSQL解决方案的机器人数据实时管理的兴起
面对数据的快速增长,作者注意到引领数据库管理的新计算机系统的诞生。为了保证海量异构数据的可靠处理,新型基础管理数据系统与传统系统的区别在于其线性可扩展性,可以并行存储和管理数据。这些系统被称为NoSQL数据库。机器人数据库管理系统正在不断发展。这些系统确保了数据的良好存储,随着大数据分析的发展,一种新的方法需要新的结构和方法来收集、记录和分析企业数据。这篇期刊文章讨论了NoSQL数据库,它是新数据管理解决方案不断涌现的数据进展的秘密。NoSQL for Robotics的实现将他们获得的所有数据转换为可用的形式,因为使用普通类型的Robotics,人们在实时找到最佳决策方面面临很大的限制。作者提出的方法是基于同一领域的一些实验研究的结合。
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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