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首页> 外文期刊>International Journal of Advanced Networking and Applications >Recovery and Concurrency Challenging in Big Data and NoSQL Database Systems
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Recovery and Concurrency Challenging in Big Data and NoSQL Database Systems

机译:大数据和NoSQL数据库系统中的恢复和并发性挑战

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Big data is becoming a very important concept nowadays as it can handle data in different formats and structures, velocity, and huge volume. NOSQL databases are used for handling the data with these characteristics as traditional database can’t be used in managing this type of data. NoSQL database design is based on horizontal scalability with the concept of BASE which supports eventual consistence and data is considered in a soft state and basically available. Although NoSQL has a lot to offer when used in big data it is still not mature enough and faces some challenges including low join performance, concurrency control and recovery. Not only this but also it is very challenging for organizations to know which NoSQL data model to use and how does it fit with its organizational needs. This paper mainly displays the different NOSQL data models and the opportunities and challenges alongside with some techniques for handling these challenges.
机译:现在,大数据正成为一个非常重要的概念,因为它可以处理不同的格式和结构,速度和巨大卷的数据。 NoSQL数据库用于处理这些特征的数据,因为传统数据库不能用于管理此类数据。 NoSQL数据库设计基于水平可扩展性,具有支持最终一致性和数据的基础概念,以软状态被认为,基本上可用。虽然NoSQL在大数据中使用时提供了很多,但它仍然不够成熟,并面临一些挑战,包括低连接性能,并发控制和恢复。不仅如此,而且组织也非常具有挑战性,以了解要使用的NoSQL数据模型以及如何符合其组织需求。本文主要显示不同的NoSQL数据模型以及与处理这些挑战的某些技术以及处理这些挑战的机会和挑战。

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