Both data mining and data warehousing are powerful data analysis and storage techniques.
Data warehousing : To generate meaningful business insights, it involves compiling and organizing data from various sources into a common database. In a data warehouse, data are cleaned, integrated and consolidated to support management decision-making processes. Object-oriented, integrated, time-varying, and nonvolatile data can be stored within a Data warehouse.
Data mining : Also referred to as KDD (Knowledge Discover in Database), it involves searching for and identifying hidden, relevant, and potentially valuable patterns in large data sets. An important goal of data mining is to discover previously unknown relationships among the data. Through data mining, insights can be extracted that can be used for things such as marketing, fraud detection, and scientific discoveries.
