Study of data analysis model based on big data technology

The traditional data analysis are based on the cause and effect relationship, formed a sample microscopic analysis, qualitative and quantitative analysis, the thinking mode of trend extrapolation analysis. Big data has a fundamental impact on the traditional data analysis. Big data analysis based on correlation, formed global macro analysis, data and technical analysis, correlation analysis and new thinking mode of correlation analysis. Namely, from causal analysis to correlation analysis and knowledge discovery, from model fitting to data mining, from logical reasoning to association rules. Data analysis in the era of big data have taken great changes, Namely, Big data analysis, from the analysis of objects, the mode of data processing, analytical methods and tools, analytical thinking.

I. Introduction

Big data is one of the world's hottest vocabularies after the Internet of things and cloud computing. Big data has brought a great impact. On thinking mode, education model, business operation model, scientific research model and medical diagnostic model, etc. Big data has a fundamental impact on all fields. Traditional data analysis has been developed from the analysis of the sample of “To see only one spot” into the time of overall analysis of “the overall situation”. Traditional data analysis of small data thinking model and mathematical model has been difficult to adapt to the data processing needs of large data era. Finding the knowledge, mining value, looking for association is the real need of data analysis in the era of big data. If the traditional data analysis is the nuggets from the mine, discarding the dross and select the essential, But analysis of the age of big data is taking the gold from sand, discarding the false and retain the true sand began to see gold”. “Blowing sand only see gold” and “discover order from chaos” can be said that the most true portrayal of data analysis of the era of big data analysis.