A Query Optimization Method Based on Hadoop-HANA Hybrid Data Management Strategy
Abstract
This paper proposes a novel query optimization method based on Hadoop-HANA hybrid data management strategy. The method to establish the hybird data management system based on the distributed database middleware is provided at first. Then the Hadoop-HANA index and the hot-data methods are introduced to speed up the query execution on the proposed system, which makes the massive heterogeneous data process more efficient.
Keywords
distributed database; HDFS; Hadoop-HANA index; Hot Data; middleware
DOI
10.12783/dtetr/ismii2017/16662
10.12783/dtetr/ismii2017/16662
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