This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy.
Brought to you by:
Paper The following article is Open access

BDAP: A Big Data Analysis Platform Based On Spark

, , , and

Published under licence by IOP Publishing Ltd
, , Citation Zhixiang Wang et al 2018 J. Phys.: Conf. Ser. 1060 012023 DOI 10.1088/1742-6596/1060/1/012023

1742-6596/1060/1/012023

Abstract

Big data analysis platform consists of a serious of application and technologies for gathering, cleaning, storing, and analysing, which contribute to manage large-scale information, get analysis result and make decision precisely. However, traditional data analysis platforms meet new challenges as both continued growth in both scale and complexity in real data, existing data analysis platforms rarely have comprehensive functions for users. In response to these challenges, the BDAP (Big Data Analysis Platform) is proposed. BDAP supports large-scale data storage, parallel ETL process, data mining, statistical analysis, text mining and power grid data processing which are based on Spark. This demo introduces two application scenarios, transformer power prediction and video classification are presented. Experimental results show that BDAP is efficient and effective for data mining.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1742-6596/1060/1/012023