Buy custom Tying together OLAP, Datawarehouses, Datamarts, and 3-tier architecture 
    
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            | Topic: | Technology | 
        
            | Number of pages / Number of words: | 4 / 888 | 
                
    
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The can use that data for better customer service, do analysis for reporting or problem solving. Another reason to use Data Warehouses and Data Marts is for data mining. A Data Mart can be used at either end of the data mining process.
What is the difference between Data Warehousing and Data Marts? A Data Mart is subject or department -oriented...
        
        
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They can be subsets of larger warehouses, which make them dependent data marts. But they don't always have to be part of a data warehouse. They can be independent data marts called ?stovepipe' data marts. Size is not an issue when you are comparing a data mart and a data warehouse. Some data marts are larger than some data warehouses...
        
        
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            General points of the essay
            
                                    Data mining in customer acquisition
                                    Data mining
                                    Databases and Data Warehouses
                                    Putting Data To Work: Intelligently Using Data Mining, Data Warehousing And Databases.
                                    An Exploration of Understanding Heterogeneity through Data Mining
                                    Accuracy of Data, Data Ouytput
                                    DATA MINING IN HOMELAND SECURITY
                                    Data Architecture
                                    Data Marts Advantages & Disadvantages
                                    Data Mining In A Nut Shell
                                    Data Mining and Warehousing
                                    Data Warehouses
                                    Establishing a center of excellence for data mining
                                    OLAP, Data Marts and Warehouses, Three-Tier Architecture and ASP
                                    Tying together OLAP, Datawarehouses, Datamarts, and 3-tier architecture
                            
                    
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