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.
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