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Data Warehouse and Data Mining and the Problems Faced by Data Ware House System Essay Example

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Data Warehouse and Data Mining and the Problems Faced by Data Ware House System

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Data Warehouse and Data Mining and the Problems Faced by Data Ware House System. According to the research findings, it can, therefore, be said that data mining is\ a division of the computer science that can be defined as a process that extracts important details from a large data by using the methods of statistics and other tools so that the important data can be retrieved from a group of raw data and to use them when it is required. The present research has identified that data mining is considered as an important tool in the modern business to change a large number of data whether in use or not into a work of worth so that it can be saved for the future use. This essay discusses that it is a large used in the industry such as the surveillance, marketing, and for many discoveries in the field of science.

This research tells that aDataa Warehouse is a system used for the data reporting. The data is taken from the operational systems for further treatment. The researcher states that the data is then passed through an operational data store for further work before it is worn in the data warehouse. In short, it can be termed as a store room for the data after the data is mined. It is evidently clear from the discussion that there are some demerits to the data warehouse that can be listed below:-

Scheduled data updates – The data in the data warehouse is updated nightly so the changes or additions that we do in the data would not be available until the next update.
Handling blank fields- When the data is loaded into the warehouse the blank spaces that it contains are automatically filled with some character like the numeric values are filled in by 0 and the texts are filled in by – (dash) The spaces in the date field are blank. The author has rightly presented that all these points should be kept in mind or it could crash the look of the report.

 
From the research, it can be comprehended that by keeping these in mind the data warehousing system should be managed. Data Warehouse and Data Mining and the Problems Faced by Data Ware House System.

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Reference

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Sprankle Maureen, Hubbard Jim, (2008). Problem Solving and Programming Concepts. 8th ed. London: Prentice Hall. 298.

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