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Conference Paper Advanced Multitenant Hadoop in Smart Open Data Platform
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Authors
Minh Chau Nguyen, Hee Sun Won
Issue Date
2017-12
Citation
International Conference on Big Data and Internet of Things (BDIOT) 2017, pp.48-51
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3175684.3175719
Abstract
Nowadays, there has been an immense amount of data coming from various devices sensors, social networks and IoT services. Among these data, open data is playing more and more important role in practice. Many individuals and organizations collect a broad range of different types of data in order to perform their analytic tasks. However, the current open data platforms still have many limitations. Among the drawbacks, data management, an important process of analytic service development, needs to be improved significantly. The main reason is that the emergence of massive data explosion coming from various sources has been making the process become more and more complicated and costly. Therefore, we propose here a system related to the field of data management to allow multitenant users to find and access easily their desired data as well as metadata. It also helps improve the performance of platform.
KSP Keywords
Analytic service, Data Management, Data explosion, IoT services, Massive Data, Open Data platform, social network(SN)