Thread: Data Ware Housing and Data Mining

What is the difference between Data Ware Housing and Data Mining?

Data Warehouse means storing data in a place other then the actual database where visitors access it.

Data mining I think analyzing data for patterns etc to find out customer trend etc. Walmart is a pioneer in applying data mining in retail market.

Data Warehouses and Data Mining techniques are becoming indispensable parts of business intelligence programs.
Data mining allows you to find the needles hidden in your haystacks of data.

Data Warehouses and Data Mining techniques are becoming indispensable parts of business intelligence programs. Use these links to learn more about these emerging fields and keep on top of this trend.
Data Mining:-An introductory look at the data mining/knowledge discovery field from your Databases Guide. You'll find an introduction to the terms and techniques unique to machine learning and, as always, the best links on the Net!
Data Ware Housing:-Security issues are often neglected in the implementation of data warehouses. This article from DM Direct outlines the basic principles of data warehouse security.

In simple words Data Warehouses are an important asset for organizations to maintain efficiency, profitability of database of the organisation where as Data Mining can be used for predictive analysis in marketing.