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Data Warehouse Listings
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105 | Displaying: 11 - 20 | Pages: << 1 2 3 4 5 6 7 8 9 10 >> |
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Modern Relational Database Management Systems can be configured to collect data at certain events. In a business, some of the events are sale, order, deposit, pay, request and many more. Events are really business activities in a company. Big companies, in order to gain competitive advantage, invest heavily on setting up business data warehouses
Price: Free - Updated: 03/13/2008
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Modern data warehouses are becoming more and more powerful. In the past, data warehouses can only present statistical reports in flat table formats. But today's data warehouses can supply data and, in conjunction with other application such as geographic information systems (GIS), reports can be done in graphical format that shows geographic maps.
Price: Free - Updated: 03/13/2008
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A Data Warehouse, is not just a rich repository of company data. It is also an overall strategy and process for making a cutting edge decision support system. One of the main objectives of a Data Warehouse it to bring together various information from several sources whose platforms could be totally different from one another but the Data Warehouse
Price: Free - Updated: 03/13/2008
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Spatial Data is a kind of data that reflects the real world which has become too complex for the direct and immediate understanding of data consumers. Spatial Data are used to create models of reality and designed to have some similarity with selected aspects of the real world including status and nature of the reality. A Spatial Database is therefore
Price: Free - Updated: 03/13/2008
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While implementing a Data Warehouse, there are a multitude of complex things to consider. Data Management is one of the most important aspects that need to be considered, aside from other things like physical server and network components. In Data Management, the design of the Data Structure determines the smooth and successful implementation of the
Price: Free - Updated: 03/13/2008
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In the Webster dictionary, the word "integrity" is defined as "firm adherence to a code, a set of moral values, honesty and incorruptibility". In general computer science, Data Integrity is the aspect of wholeness of completeness of data during such operations such as transfer, storage and retrieval. It also refers to the preservation
Price: Free - Updated: 03/13/2008
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In the past, Data Integrity was defined and enforced with data edits but this method did not cope up with the growth of technology and data value quality greatly suffered at the cost of business operations. Organizations were starting to realize that the rules were no longer appropriate for the business. The concept of business rules is already widely
Price: Free - Updated: 03/13/2008
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From the perspective of computer science in general and telecommunications in particular, data integrity refers to the wholeness or completeness of data during operations involving transfer, storage and retrieval. It also refers to the preservation of data so that whatever process in undergoes through, it will still remain to be what it has been intended
Price: Free - Updated: 03/05/2008
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In some aspects of information technology, a data element is referred to as any named unit of data which may or may not consist of other data items. In many electronic record keeping applications, a data element is a combination of bytes or characters which refer to a separate item of information like name, address and gender.
Price: Free - Updated: 03/05/2008
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Often, data warehouses are being managed by more than just one computer server. This is because the high volume of data cannot be handled by one computer alone. In the past, mainframes were used for processes involving big bulks of data. Mainframes were giant computers housed in big rooms to be used for critical applications involving lots of data
Price: Free - Updated: 03/05/2008
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Data Warehouse Listings
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Total:
105 | Displaying: 11 - 20 | Pages: << 1 2 3 4 5 6 7 8 9 10 >> |
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