What is data warehousing in data mining?
Likewise, what is data mining in data warehouse?
A data warehouse is database system which is designed for analytical analysis instead of transactional work. Data mining is the process of analyzing data patterns. Data warehousing is the process of pooling all relevant data together. Data mining is considered as a process of extracting data from large data sets.
One may also ask, what is data warehousing and what is difference between data warehousing and data mining? The main difference between data warehousing and data mining is that data warehousing is the process of compiling and organizing data into one common database, whereas data mining is the process of extracting meaningful data from that database. Data warehouse is the repository to store data.
Then, what is meant by data warehousing?
A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process. Subject-Oriented: A data warehouse can be used to analyze a particular subject area. For example, "sales" can be a particular subject.
What do you mean by data mining?
Definition: In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data. It implies analysing data patterns in large batches of data using one or more software. Data mining is also known as Knowledge Discovery in Data (KDD).