The research paper Data Warehousing Implementation talks about effective ways of implementing Data Warehousing techniques. The speed at which data is churned out is astronomical. Data is released from any responsible organization almost at a second to second basis. Researchers say that Data is going to be doubled in just a few years. But the rate at which the data is secured is not at all in harmony with its production. Effective Data Base Management Systems empower organizations.
What are Mining and Warehousing:
Data mining offers some practical solutions to manage data and put them in some manageable patterns and formats. Data Mining helps the organizations to discover some invaluable ‘hidden’ data. This hidden data might expedite the business processes or help business in doing some very good competitor analyses. Data Warehousing is a valuable tool that helps in putting the data in patterns so as to facilitate prediction, forecast and analyses. The aim of warehousing is to see that almost all crucial decision business making goes ‘online’.
Problems: The research paper casts light on some practical issues faced by giant companies like AT and T which rely heavily on data warehousing without which tackling problems pertaining to storage and analyses becomes a herculean task.
Conclusion: Data warehousing projects are highly vulnerable and harder in comparison with traditional projects. Data warehousing experts alone can tweak the problems concerned to the domain. Data Warehousing works on Boolean Logic which the users might not be able to comprehend.
Data Warehousing has a very promising future although it might have a few initial hiccups.
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