In order to adequately address this topic, you should limit yourself to no more than 150 words and focus on the differences between data mining and data warehousing in terms of their applications and the methods by which they are carried out.
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- How, in no more than 150 words, can you distinguish between data mining and warehousing in terms of their various applications and the manner in which they are carried out? What are the key differences between the two?The distinction between data mining and data warehousing should be made in terms of application and execution.The benefits of data profiling can be summed up in the following ways:
- In the context of computer applications, how does the approach known as "data mining" differ from that known as "OLAP"?The term "Hybrid Approach" in the context of data warehousing pertains to a methodology that combines elements of both traditional and modern approaches in order to optimize the storage, processing, and analysis of data.In the past, we would, as a matter of course, divide enormous volumes of data that were not already sorted into periods that we selected. We are faced with vast and difficult obstacles, just like we would be in the real world. Is it better to work alone or in a group, and what are the advantages and disadvantages of each?
- In no more than 150 words, please explain the fundamental differences that can be made between data mining and data warehousing in terms of the applications that each of these processes is best suited for and the manner in which they are carried out.What are some of the advantages of data profiling?There should be a thorough explanation of one intriguing data or text mining application.