Data Warehouses and Data Mining

This article gives a detailed summary of the role of data warehouses and data mining, and their relationship to organizational databases. As you read, pay attention to how data warehouses are used to improve decision-making in organizations. Keep a summary in your notes of how an organization you are involved with could benefit from data mining and data warehousing.

Example: Facebook

Example of data warehousing that everyone can relate to is what Facebook does. Facebook gathers all of your data – your friends, your likes, and so on – and then stores that data into one central repository. For many reasons, they want to make sure that you see the most relevant ads that you're most likely to click on, they want to make sure that every friends that they suggest are the most relevant to you, keep in mind that this is the data mining phase in which meaningful data and patterns are extracted from the aggregated data.