sistema vincente per opzioni binarie Data warehouse can be defined as ‘Structural Repository’ of historic data. It is developed in evolutionary process by integrating the data from non integrated systems like text files, excel sheets, databases
skatt ved valutahandel DWH is subject oriented in the sense that the data is integrated from disparate sources unlike in OLTP, where we store the data according to the applications for example the applications for keeping track of transactions which is happening on daily basis. In the case of OLAP, the data is not stored according to the application but is stored according to subjects like customers, products, branches etc.
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strategie opzionibinarie 5 minuti The data in DWH is integrated in the sense that data from the disparate system as well as the data from different application will be accumulated and will be stored in the single database called DWH(This process is known as ETL in DWH.) for analysis and decision taking purpose.
kan man köpa Viagra på apotek The data will be stored according for current values unlike in DWH, the data will be stored for time which may range from 1 year to 10 years.
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kann man mit binären optionen geld verdienen DWH does not able to update in the sense that the data cannot be deleted or modified, it can only be viewed. The DWH is used for analysing the data so it periodically get refreshed by picking up the data from various OLTP systems.
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طرق سريعة لكسب المال على الانترنت Data granularity can be defined as the level of details of data.In OLTP the data granuality is the number of units for each unique products.They will have the details of how many units of product is sold and how many are still remaining in the stock