Data: Information processed or stored by a computer system Database: A systematic collection of data. An electronic system that allows data to be easily accessed, manipulated and updated Data warehouse: A structure place to store data designed to optimise for various functions. It is a relational database designed for query and analysis A data warehouse is a type of database but designed for optimised analysis. Data mart: Is a subset of a data warehouse meaning it focuses on one task. Purpose is to isolate and partition a smaller set of data from a data warehouse so there is easier access for the end user. Data mining: The process of analysing hidden patterns of data according to different point of views for categorisation into useful information. Collected in data warehouses for efficient analysis. It allows us to analyse trends in data usually for commerce related reasons. There is so much data that they are needed for organisation and finding trends. EXTRACT - STORE - PROVIDE - PRESENT A data warehouse extracts data and data mining takes this data and uses it for finding trends
Take an example of a shopping mart. People buy products there, data gets stored in the system of the mart. They would analyse this data to do stuff like predict their sales, know what product is the most popular, know the trends, etc. This process of extracting data and making patterns to derive a conclusion is data mining.
@@SiddharthGargYT A nice, simplistic example. This kind of information (or data) helps the SuperDuperMart powers that be to gather strategic understanding of everything from what products to stock on the shelves, how mush shelf space should be allocated, what level of the shelf it should be placed on, how much to order and when... all this boils down to MAXIMIZED PROFIT in an information economy.
This is a very nice video and useful information regarding data mining, the most challenging thing is actually applying it to organizational decision making process,,, it is indeed a lot of work to actually successfully data mine. I must confess that building the database is really easy and straight forward but data mining is wow, hard work.
From my understanding you pull data from tables that give you the info you are looking for. Need to know what is your most popular selling item? Pull the sales tables and see which item has the most transactions. Had a hard time understanding this because my work has its own database for dummies where you just have to fill in lines with what you want. A data miner would know what queries to write to pull the data without such a system in place.
