Design of a Hadoop Based Data Platform for Auto Aftermarket

DOI

10.2991/meici-15.2015.249How to use a DOI?

Keywords

Auto aftermarket; Hadoop; Data platform; Data analysis

Abstract

With the development of China's auto aftermarket, the share of auto aftermarket is going to increase in the future. Due to the unique characterizations of the auto aftermarket, dealers cannot provide adequate choices to customers due limitations in the venue or funds. Additionally, dealers cannot recommend suitable products to customers because the approach to determine their demands is relatively simplified. Moreover, it is complex to maintain the vehicles; therefore, a car owner is not able to make an appropriate maintenance plan and judge the quality of auto spare parts. The three problems bring high security risks. Through in-depth analysis of the status and prospects of the auto aftermarket, this study proposes and implements a Hadoop-based data platform using techniques of big data. The mentioned risks are reduced by the usage of cutting-edge technology for distributed systems and big data analysis techniques. The method can also provide a customized interface, which prepares for ongoing maintenance and the expansion of the platform

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  - Yi Shen
PY  - 2015/06
DA  - 2015/06
TI  - Design of a Hadoop Based Data Platform for Auto Aftermarket
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 1425
EP  - 1431
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.249
DO  - 10.2991/meici-15.2015.249
ID  - Shen2015/06
ER  -