What is difference between data warehouse and data warehousing?

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 is stored periodically. Data warehousing is the process of extracting and storing data to allow easier reporting.Click to see full answer. Moreover, what is difference between data warehouse and database? KEY DIFFERENCE Database is designed to record data whereas the Data warehouse is designed to analyze data. Database uses Online Transactional Processing (OLTP) whereas Data warehouse uses Online Analytical Processing (OLAP).Likewise, what is difference between OLTP and data warehouse? Key differences between an OLTP system and a data warehouse. One major difference between the types of system is that data warehouses are not usually in third normal form (3NF), a type of data normalization common in OLTP environments. Data warehouses are designed to accommodate ad hoc queries and data analysis. Additionally, 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 is data warehousing and mining?Data warehouse refers to the process of compiling and organizing data into one common database, whereas data mining refers to the process of extracting useful data from the databases. A data warehousing is created to support management systems.