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What do you mean by data mining? Differentiate between data mining and data warehousing.

Answer»

Data mining is the process of collecting information in order to find PATTERNS, trends, and usable data that will help a company to make data-driven decisions from large amounts of data. In other WORDS, Data Mining is the method of analysing hidden patterns of data from VARIOUS perspectives for categorization into useful data, which is gathered and assembled in specific areas such as data warehouses, EFFICIENT analysis, data mining algorithm, assisting decision making, and other data requirements, ultimately resulting in cost-cutting and revenue generation. Data mining is the process of automatically examining enormous amounts of data for patterns and trends that go beyond simple analysis. Data mining estimates the probability of future events by utilising advanced mathematical algorithms for data segments.

Following are the differences between data warehousing and data mining:-

Data WarehousingData Mining
A data warehouse is a database system that is intended for analytical rather than transactional purposes. The technique of examining data patterns is known as data mining.
In data warehousing, data is saved on a regular basis.In data mining, data is evaluated on a regular basis.
Engineers are the only ones that do data warehousing.With the assistance of technologists, business users CONDUCT data mining.
Data warehousing is the process of bringing all relevant data together.Data mining is the process of extracting information from big datasets.
Data warehousing can be referred to as a subset of data mining.Data Mining can be referred to as a super set of data warehousing.


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