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Data warehousing – Data warehouse Project Management

Characteristics of successful data warehouse projects generally include the following aspects – Clear business justification for the project ie. measurable benefits must be defined for a data warehouse project Efficient project personnel Ensuring data quality & consistency Data warehouses deal with historical data from a variety of sources. So care must taken to ensure data…

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DATA WAREHOUSE PROJECT LIFE CYCLE – Ongoing maintenance and changing user requirements

Ongoing maintenance is the final phase of creation of a data warehousing system. The ongoing maintenance of data warehouse generally involves constant loading of new data and addressing the changing analysis requirements of end users Now as the end users gains confidence, satisfaction and control over the data warehousing system, they wish to switch over…

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DATA WAREHOUSE PROJECT LIFE CYCLE – Design and implementation-Engineering

Once the application is well defined, data warehouse developers are able to begin making technical decisions about building the logical & physical design of the data warehouse system. They may specify the system integration details, the database/software platforms to be used, baseline system models and architectures to be designed at the beginning of data warehouse…

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Data warehousing – Concept

In the present day competitive & technology centric information age, business enterprises are realising that the enterprise data is valuable resource just like other resources of the enterprise such as man, machine, raw materials & money. The great value of data lies in the fact that enterprises could manipulate this data and create valuable information,…