Big data analysis process:
1. Business understanding
Determine whether analysis requirements can be converted into data analysis projects
2. Data acquisition The
extracted data must be able to accurately reflect business needs
3. Data cleaning
Add missing attribute values of some data; unify data format, coding and quality; detect and delete abnormal data
4. Data management
Classify, encode, store, index and query data; experienced file management, database, data warehouse, new data management system in the era of big data
5. Data analysis
General statistical query; mining specific patterns from data; conducting predictive analysis
6. Data presentation
(1) Establish a visual representation from input data to conforming to cognitive laws
(2) Use visual graphics to present the hidden information and laws in the data
(3) Create interactive views, including high-dimensional data visualization, Network and hierarchical data visualization, spatiotemporal data visualization, text data visualization, etc.