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Answer» 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.
Difference between Data Warehouse and Data Mining - | Data Warehousing | Data Mining |
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| It involves gathering all relevant data for analytics in one place. | Data is extracted from large datasets using this method. | | Data extraction and storage assist in facilitating easier reporting. | It IDENTIFIES patterns by using pattern recognition techniques. | | Engineers are solely responsible for data warehousing, and data is periodically stored. | Data mining is carried out by business users in conjunction with engineers, and data is analyzed regularly. | | In addition to making data mining easier and more convenient, it helps sort and upload important data to databases. | Analyzing information and data is made easier. | | It is possible to accumulate a large amount of irrelevant and unnecessary data. Loss and erasure of data can also be problematic. | Not doing it correctly can create data breaches and hacking since data mining isn't always 100% accurate. | | Data mining cannot take place without this process, since it compiles and organizes data into a common database. | Because the process requires compiled data, it always takes place after data warehousing. | | Data warehouses SIMPLIFY every type of business data. | Comparatively, data mining techniques are inexpensive. |
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