The following are five basic aspects of IT training/big data analysis in Hefei.
1. Visualization analysis data visualization is the most basic requirement for 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.
2. Data mining algorithm visualization is for people to see, and data mining is for machines to see.
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.
3. Predictive analysis ability Data mining allows analysts to better understand the data, while predictive analysis allows analysts to make some predictive judgments based on the results of visual analysis and data mining.
4. Due to the diversity of unstructured data, semantic engine brings new challenges to data analysis, which requires a series of tools to parse, extract and analyze data.
The semantic engine needs to be designed to intelligently extract information from "documents".
5. 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.