According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely. There is a fight to use and store this tremendous information effectively. HBase is the top option for storing huge data. HBase has been selected for several purposes, including its scalability, efficiency, strong consistency support, and the capacity to support a broad range of data models. This paper seeks to define, taxonomically classify, and systematically compare existing research on a broad range of storage technologies, methods, and data models based on HBase storage architecture’s symmetry. We perform a systematic literature review on a number of published works proposed for HBase storage architecture. This research synthesis results in a knowledge base that helps understand which big data storage method is an effective one.

中文翻译：

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HBase存储体系结构的全面研究—系统文献综述

根据研究，通常每天产生2.5兆字节的数据。仅在过去的两年中，就产生了约90％的世界数据。数据量正在急剧增加。为了有效使用和存储这些巨大的信息，人们进行了一场斗争。HBase是存储海量数据的首选。选择HBase具有多种用途，包括其可伸缩性，效率，强大的一致性支持以及支持广泛数据模型的能力。本文旨在基于HBase存储体系结构的对称性，定义，分类分类和系统地比较有关广泛存储技术，方法和数据模型的现有研究。我们对许多针对HBase存储体系结构提出的已发表著作进行了系统的文献综述。