An Objective Function for Dividing Class Family in NoSQL Database

Chen, Zhikun; Yang, Shuqiang; Zhao, Hui; Yin, Hong

doi:10.1109/csss.2012.520

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…For example, the amount of medical information will increase about 50 times. Analysis of big data will be of great value in the next 10 years, covering medical, manufacturing, telecommunications, retail, energy, transportation, security, and other application markets [3]. Data analysis is performed on information and data generated in the past; after analysis, it forms the basis for future actions and decisions making.…”

Section: Introductionmentioning

confidence: 99%

Design of a Big Data Accessing and Processing Architecture Using Cloud Computing Technologies

2016

Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering

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Big Data analytics has emerged as a promising topic and gained more and more attention. In order to have scalable load capacity for data platforms, we must build them in good architecture. Some issues must be considered in order to use the cloud computing to quickly integrate big data into database for analyzing, searching, and filtering big data to obtain valuable information. In this paper we propose a design for cloud storage platform with HBase for storing and analyzing big data and improve the performance of importing data into database. It also can operates through Hadoop MapReduce for HBase database to do distributed data processing, and to provide functions, including keyword search, data filtering, and basic statistics.

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Section: Introductionmentioning

confidence: 99%