Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Hadoop Application of Technical Analysis of Large Data

Authors
Li Jiang
Corresponding Author
Li Jiang
Available Online November 2015.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Industrial Technology and Management Science
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.207How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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