Efficient data management tools for the heterogeneous big data warehouse-Reference-Cited by-同舟云学术

Efficient data management tools for the heterogeneous big data warehouse

Published:2016-09 Issue:5 Volume:13 Page:689-692
ISSN:1547-4771
Container-title:Physics of Particles and Nuclei Letters
language:en
Short-container-title:Phys. Part. Nuclei Lett.

Author:

Alekseev A. A.,Osipova V. V.,Ivanov M. A.,Klimentov A.,Grigorieva N. V.,Nalamwar H. S.

Publisher

Pleiades Publishing Ltd

Subject

Radiology, Nuclear Medicine and imaging,Nuclear and High Energy Physics,Atomic and Molecular Physics, and Optics,Radiation

Link

http://link.springer.com/content/pdf/10.1134/S1547477116050022.pdf

Reference4 articles.

1. S. Artemov, “Big data = big problem?,” Jet Info, No. 6 (2012). http://www.jetinfo.ru/jetinfo_arhiv/big-data/bolshie-dannye-bolshaya-problema/2012.

2. G. Vaish, Getting Started with NoSQL (Packt Publ., 2013).

3. Oracle Database Concepts, Oracle Database Online Documentation 12c, Release 1. http://docs.oracle.com/ database/121/CNCPT/intro.htm#CNCPT001.

4. J. Erickson, M. Kornacker, D. Kumar, and D. Rorke, New Benchmarks for SQL-on-Hadoop: Impala 1.4 Widens the Performance Gap (2014). http://blog.cloudera.com/blog/2014/09/new-benchmarks-for-sql-on-Hadoopimpala-1-4-widens-the-performance-gap.

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