Storage requirements for large data in China market

Effective use of large data, not only real-time monitoring of a variety of potential risks, improve production efficiency, more importantly for the enterprise to provide a lot of insights to enhance investment return and competitive advantage, but also to help enterprises from a multidimensional judgment of the global market potential business opportunities, to achieve rapid development of leaps and bounds. Large data through it to create value is mainly divided into three stages, the first stage is the batch analysis, the data mainly from the internal structure of the data; the second phase is real-time analysis, and the type of data analysis gradually evolves from structure to include unstructured and http://www.aliyun.com/zixun/ Aggregation/13667.html "> semi-structured data; The third phase is a comprehensive factual analysis, not only from the internal data of the enterprise, but also to include competition data from third parties, based on unstructured data.

The present situation of large data analysis in China market

For the development of large data analysis in China market, China Bridge analysts said that more than 90% of the Chinese market users in the first phase of large data analysis, and the user large data analysis mainly around the internal structure of data, such as database or transactional data, fewer enterprises to log, induction data, community data into large data analysis. This trend will change, however, because the ratio of semi-structured and unstructured data to large data analysis in China will grow rapidly in the next 24 months.

Large Data Analysis Market trends

Although Chinese users are still in the first stage of big data analysis, Chinese companies are aware of their importance. So on the deployment of data analysis solutions, China Bridge analyst said that 40.9% of the enterprise-class users in the next 12 months to consider the deployment of new data analysis solutions, and for 45% small and medium-sized enterprises, the next 12-24 months will become a big data analysis of the new program of strong growth.

Figure 1. Large Data analysis IT investment trends

The challenge of large data storage

So what are the storage challenges facing Chinese users in the process of creating value from large data? Analysts said the storage challenges faced by companies and institutions surveyed in data analysis were: storage capacity could not meet demand (50.1%), complex resource configuration (44.4%), high purchasing and operating costs (40.2%), inability to meet parallel processing capability requirements (39.3%), Large data analysis (33.2%) of unstructured data, low utilization of storage hardware (20.9%).

Figure 2. Large data storage challenges

This indicates that in the age of large data, in the case of rapid increase in data volume, the storage capacity of enterprises is the most pressure, and the application of diversification and it's hierarchical management, bringing the system it resource configuration and management complex; to meet the demand of such a large amount of data and a variety of applications, the enterprise's storage procurement and operating costs are also high , while multiple applications run simultaneously, the parallel processing ability of the system is put forward higher requirements; The large data analysis of unstructured data further reflects the diversity and complexity of enterprise data types. Therefore, in order to meet the IT requirements of the large data age, enterprises need large capacity, high performance, guaranteed data life cycle cost-effective storage to meet the large data storage, data protection and business continuity requirements.