Hadoop Application of Technical Analysis of Large Data

DOI

10.2991/itms-15.2015.207How to use a DOI?

Keywords

big data analysis; visualization; MapReduce; Hadoop technology

Abstract

Big data analysis is one of the main applications of big data technology. This paper introduces the basic methods and principles of big data analysis, current academic and industry-wide adoption HDFS distributed file system and MapReduce programming model for building big data analysis techniques. Based on the analysis hadoop technology in mainstream non-relational data, based on comparative advantage in HBase, Hive, HadoopDB other mainstream non-relational database systems and traditional database, and describes the relevant algorithms. Using Hadoop core technology provides a platform for new big data analysis applications, presents a big data analytics in the enterprise Solution, a good solution to big data analytics in the enterprise application advantages.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Jiang
PY  - 2015/11
DA  - 2015/11
TI  - Hadoop Application of Technical Analysis of Large Data
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 870
EP  - 873
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.207
DO  - 10.2991/itms-15.2015.207
ID  - Jiang2015/11
ER  -