Abstract
With the increasing interest in machine learning, data management has been receiving significant attention. We propose SuperQuery, a big data virtualization technique that abstracts the physical elements of heterogeneous DBMS in various systems and integrates data into a single access channel. SuperQuery can integrate and collect data regardless of the location, shape, and structure of the data and enable rapid data analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dong, X.L., Srivastava, D.: Big data integration. Proc. VLDB Endow. 6(11), 1188–1189 (2013)
van der Lans, R.: Data Virtualization for Business Intelligence Systems: Revolutionizing Data Integration for Data Warehouses, 1st edn. Morgan Kaufmann, Bulington (2012)
MetaStream. http://datastreams.co.kr/en/sub/prd/governance/metadata.asp. Accessed 23 Dec 2019
FACT. http://datastreams.co.kr/en/sub/prd/integration/etl.asp. Accessed 23 Dec 2019
Apache Spark. https://spark.apache.org/. Accessed 23 Dec 2019
HDFS. https://hadoop.apache.org/. Accessed 23 Dec 2019
TPC. http://www.tpc.org/information/about/abouttpc.asp. Accessed 23 Dec 2019
Acknowledgement
This work was supported by National IT Industry Promotion Agency (NIPA) grants funded by the Korean Government (MSIT) (S0510-20-1001, Development of IoT and Big Data Infra Technology for Shipbuilding and Marine).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Shin, P.W., Han, K., Kil, G. (2020). SuperQuery: Single Query Access Technique for Heterogeneous DBMS. In: Nah, Y., Cui, B., Lee, SW., Yu, J.X., Moon, YS., Whang, S.E. (eds) Database Systems for Advanced Applications. DASFAA 2020. Lecture Notes in Computer Science(), vol 12114. Springer, Cham. https://doi.org/10.1007/978-3-030-59419-0_46
Download citation
DOI: https://doi.org/10.1007/978-3-030-59419-0_46
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-59418-3
Online ISBN: 978-3-030-59419-0
eBook Packages: Computer ScienceComputer Science (R0)