A Query Optimization Method Based on Hadoop-HANA Hybrid Data Management Strategy

Jie Wang, Qiao Pan, Yuan Zhang, Mei Wang

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

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