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http://dx.doi.org/10.30693/SMJ.2018.7.3.57

Design and Verification of Connected Data Architecture Concept employing DataLake Framework over Abyss Storage Cluster  

Cha, ByungRae (광주과학기술원 전기전자컴퓨터공학부)
Cha, Yun-Seok (제노테크(주))
Park, Sun (광주과학기술원 전기전자컴퓨터공학부)
Shin, Byeong-Chun (전남대학교 수학과)
Kim, JongWon (광주과학기술원 전기전자컴퓨터공학부)
Publication Information
Smart Media Journal / v.7, no.3, 2018 , pp. 57-63 More about this Journal
Abstract
With many types of data generated in the shift of business environment as a result of growth of an organization or enterprise, there is a need to improve the data-processing efficiency in smarter means with a single domain model such as Data Lake. In particular, creating a logical single domain model from physical partitioned multi-site data by the finite resources of nature and shared economy is very important in terms of efficient operation of computing resources. Based on the advantages of the existing Data Lake framework, we define the CDA-Concept (connected data architecture concept) and functions of Data Lake Framework over Abyss Storage for integrating multiple sites in various application domains and managing the data lifecycle. Also, it performs the interface design and validation verification for Interface #2 & #3 of the connected data architecture-concept.
Keywords
DataLake Framework; Abyss Storage Cluster; CDA-Concept (connected data architecture-concept);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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