The Main Application of Data Warehouse and Data Mining

Data warehouse is a topic oriented, integrated, time-varying and non-volatile data set, which supports the decision-making process of management department. Topic oriented refers to the organization of data warehouse around some topics, which is different from transactions.

Integration refers to the integration of multiple heterogeneous data sources.

Time varying means that data storage provides data from a historical perspective.

Data warehouse is more used for decision-making analysis, through the analysis of stored historical data mining rules, as well as prediction of future development.

At present, data mining is not popular in China, just like the skill of killing a dragon. Data mining itself integrates statistics, database, machine learning, pattern recognition, knowledge discovery and other disciplines, and is not a new technology.

The reason why data mining can be applied is not because of algorithm, which has existed before. The reason of data mining application is big data and cloud computing. For example, there are thousands of computers running neural network algorithm in the background of alpha dog.