Research On Industrial Safety Evaluation Of Software And Information Service Industry In Beijing

As China’s capital, Beijing is characterized with obvious headquarter status, the highest proportion of tertiary industry, a high-tech content of the first and second industry, and also the minimum energy consumption of ten thousand yuan GDP in China. The major industries of Beijing include leasing and business services industry, financial industry, industry, information industry. As China’s capital as a symbol of industrial safety in Beijing has its specific content, requirements, characteristics.In the description of the two main starting point of the safety evaluation and early warning post Beijing industrial security, there are two aspects of the study. On the one hand, while the previous scholar has given relatively complete industrial system security theory, in the era of big data, taking the characteristics of big data industry into account is essential, and the industrial security theory should be corrected and improved, then the new industrial safety evaluation and early warning mechanisms can be used applied in Beijing. On the other hand, effective integration and big data processing is an important prerequisite for industrial safety evaluation and early warning. To make better use of current industry data, it’s in need to collect data from various industries multiple heterogeneous data sources, to integrate and process, so as to unlock the value of big data industry.Focused on these two aspects of the problem, this paper attempts to reposition the overall framework of industrial security research under the age of big data. This paper follows the industry protection theory raised by Li Menggang scholars, including industrial damage theory, industrial international competitiveness theory, industrial controls and industrial safety evaluation theory and the basic theory of the early warning system, and also rethink its six major industries for6industries in Beijing. Meanwhile, in data integration, this paper presents the semantic data integration technology based on D2R technology, in data processing, heterogeneous data sources presented data query plan D2R with Hadoop framework Hive, Impala were combined, and then the two query performance solutions were tested.