Summary:With the advent of the era of big data, Sichuan Zhongyan Huixun Big Data Technology Research Institute has deeply studied the importance of intelligent data analysis technology and its application prospects in various fields. This paper analyzes the current situation of big data development in China, the methods and technologies of big data analysis, and highlights the key points in the process of data analysis. Through the in-depth study of big data, it aims to provide scientific data support for the coordinated development of enterprises and society, promote the wide application of big data technology in various fields, and realize the integration of information technology and economic and social development.
1.The current situation of big data development in China
With the rapid development of big data technology, Sichuan Zhongyan Huixun Big Data Technology Research Institute believes that data analysis has become the main content of data processing. At present, big data analysis in China is in its infancy, mainly used in banking, telecommunications, e-commerce and other fields. However, for the construction industry, foreign trade industry and other national economic industries, the application and analysis of big data has not yet become popular. In addition, most enterprises only rely on internal data processing problems and lack in-depth mining and analysis of data, which makes the huge value of big data not fully realized.
2.Methods and techniques of analysis for big data
2.1. The analysis method of big data.
In the era of big data, data analysis is characterized by multi-source and heterogeneous structure. Sichuan Zhongyan Huixun Big Data Technology Research Institute believes that the corresponding analysis mode should be adopted for different ** data. For example, Internet data can be searched and processed by search engines, and log data can be analyzed by monitoring user behavior and system operating status. Modes such as query-based analytics and real-time data analytics are also included.
2.2. Analysis technology of big data.
To cope with the rapid growth and diversity of big data, analytics need to be adaptable, unstructured, and fast. At present, Hadoop technology is more widely used in big data analytics, and Qracle's Exadata and EMC's Greenplum are also the main data analysis technologies.
3.Key points in the data analysis process
3.1. Clarify the variables of the data.
In data analysis, finding and comparing variables that change in data is key. This helps to analyze the influencing factors caused by the changes in big data, so as to provide scientific predictions for market development.
3.2. Accurate data is no longer pursued in statistics.
In the era of big data, it is not necessary to pursue the accuracy of each piece of data excessively, but to reflect the overall situation through a large number of samples. The larger the sample size, the closer it is to the overall picture.
Conclusion:The in-depth research on big data intelligent analysis technology by Sichuan Zhongyan Huixun Big Data Technology Research Institute will contribute to the development of big data technology in China and enhance the coordinated development of enterprises and society. Through big data analysis, we can not only better understand and predict market trends, but also provide scientific basis for decision-making in all walks of life, and promote the integration of information technology and economic and social development.