According to Hwang and Xu (2005), a data warehouse provides organizations with a unique opportunity to increase sales and productivity. This can certainly be seen in many large organizations throughout various industries. A data warehouse is a type of database system that brings together data from various sources throughout an enterprise or industry. This data is often disparate, yet similar in the general area to which it belongs. For instance, information from a manufacturing facility and information from a maintenance facility will usually reside on two different systems. However, valuable knowledge could be gained by bringing this information together. Data sets can be much more heterogeneous than the above example.
The first step in a data warehouse is to consolidate the data and place it into domains that make sense. Data is coming in from many different sources, many of which do not store data in the same way. This requires a system to homogenize the data set so that it can be stored in its appropriate domain.
A domain in data warehousing is a significantly flattened data model when compared to the normalized relational databases used in day-to-day business. User-facing databases hold data integrity and lack of redundancy as one of the most critical aspects of the system. To that end, the relational model pushes high levels of normalization that often result in a large number of tables that represent different entities and concepts within the business. However, the more normal a database becomes, the harder the database must work to retrieve information from it.
Domains can be categorized into two basic areas: dimensions and facts. A fact domain may contain sales data. The most common dimension domain is the Time domain. Most data about a sale, including sales person, item sold, price, customer, might all be in a single table, the fact table. Important dimensions, like time frame, will exist in their own table and be referenced just like any table in a relational database: with a foreign key.
Data mining will not be enough to prevent terrorism in the U.S. ... Others are having many different emotions about data mining. ... The former program they had for data mining cost millions of dollars. ... In the article "Data Mining: The New Weapon in the War on Terrorism?" ... The fear in many people is if the government starts data mining so w...
A new, and important, tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. ... "Without the pool of validated and scrubbed data that a data warehouse provides, the data mining process requires considerable additional effort to pre-process the data" (SAS Institute). ... Data Mining is largely, if not entirely used for business purposes. ... The applicability of these programs can accommodate the various uses of data mining. ...
Data Mining can help to find trends about the way users access the CTI website. ... Data Discrimination analysis can allow us to compare users who click on the Ph.D. link in the Program page with those who clicked on the Master's links. ... In prediction, historical data is used to build a predictive model that explains the current observed behavior. ...
Retail Data Sets Retail data is often placed into four basic categories. ... Data warehousing is the process of integrating enterprise wide corporate data into a single repository. ... A data delivery system, such as the data warehouse, has similar processes. ... Data Production Data production is the phase where data is first captured. ... Data Retailing The final step in the data delivery system is called "data retailing." ...
The importance of mining is definitely significant to Canada. Mining, is an important industry, and Canadians are very advanced in their mining technology, but during the mining process, there is certain level of pollution produced. ... Mining is very important in Canadian life. ... Through the use of advanced software, geological models can be produced from drill hole data. ... Mining, as we understanding, is a very important industry. ...
This kind of data-warehouse design is sometimes called an atomic data warehouse. The main purposes of an atomic data warehouse are to serve as a staging ground for subsets of the atomic warehouse, called data marts, and to serve as a reference data warehouse. ... These data marts are copied to other computers as data warehouses in their own right. Data marts may be as large as (or even larger than) the data warehouse that spawned them. ... Data marts are data warehouses built to meet particular user needs. ...
The defining characteristic of a database is (arguably) the data model that it implements. A data model is an abstract, logical definition of the objects used to model the structure of data and the operators used to model its behavior. ... The data is perceived by the user as tables (and nothing but tables); and 2. ... Multi-dimensional systems: Data is stored as a multi-dimensional array. ... Related topics are data warehousing and data mining. ...
However, due to some negative effects of mining in our natural environment, anti-mining groups began to form. ... Responsible mining is mining which follows the laws set by our government. ... The benefits from responsible mining done by mining companies do not stop there. ... It would be better if these small-scale mining operations are taken over by large-scale mining operations. ... They should know how to distinguish between the effects of small-scale mining and responsible mining. ...
Another important argument supporting math as a tool to predict human behavior is data mining because it has been used to detected customer purchasing patterns. ... Another way math is used to predict human behavior is through data mining. Business have used data mining to find out what products customers like to buy. ... Every grocery chain can benefit by using data mining to increase their profit. Wal-Mart uses excessive data mining from "over 2,900 stores in 6 countries" to increase its profit too (par. 11). ...
