Miners employ heavy machinery to break up rock formations, extract materials, and isolate them from their surroundings in physical mining of minerals from the earth. Similarly the heavy machinery in data mining is a data warehouse, which helps to gather raw data from sources and store it in a cleansed, standardized format to make analysis easier. To extend the analogy, data mining is a collection of strategies for sifting through raw data and discovering valuable insights that can make a difference in the business, much like mining engineers follow specific processes to recover precious stones from the surrounding soil. A data warehouse is a relational database that holds historical operational data for reporting, analysis, and exploration across an organization. Data warehouses are designed to store vast amounts of data and are intended to help business analysts and data scientists run complicated, multidimensional queries. Data mining is the process of extracting information from big data collections. Data mining, as its name implies, is the act of methodically reviewing and processing enormous amounts of data (the "dirt") in order to uncover relevant patterns, results, or correlations (the "diamonds") that may be useful to the organization. Manual mining is extremely tough and time-consuming in physical mining.

Gokul Pradeep

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