Big data refers not only to big data, but more importantly, to analyze big data. Only through analysis can we get a lot of intelligent, in-depth and valuable information. The following Beijing IT training introduces five basic aspects of big data analysis.

Visual analysis

Visualization analysis data visualization is the most basic requirement of data analysis tools, whether for data analysis experts or ordinary users. Visualization can display data intuitively, let the data speak for itself and let the audience hear the results.

Data mining algorithm

Visualization of data mining algorithm is for people, and data mining is for machines. Clustering, segmentation, outlier analysis and other algorithms allow us to dig deep into data and value. These algorithms not only have to deal with large amount of data, but also deal with large data speed.

predictive parsing

Predictive analysis allows analysts to make some predictive judgments based on the results of visual analysis and data mining.

Semantic engine

The semantic engine needs to be designed to intelligently extract information from "documents".

Data quality and data management

Data quality and data management are some management best practices. Processing data through standardized processes and tools can ensure predefined high-quality analysis results.