What are the reasons to use a chameleon method in data warehousing?
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Explain are data mart and dwh normalized or denormalized? Do both of them exist in
Do you always need to copy the data before reporting on it?(Example, real-time & on-demand reporting is a requirement)?
If your client approaches you and says that he wants to create a Datawarehouse, and provides just the info regarding his source systems. What are all the neccessary actions one is supposed to take/understand and get back with a comprehensive document which convinces the client to proceed with the DW initiative. What are all the documents we need to provide the client?
How do we design a universe?
What is data merging, data cleansing and sampling?
What is the difference between junk dimension and degenerated dimension?
What is the difference between olap and oltp?
Explain what is analytical or analytic mean?
Explain when do we analyze the tables? How do we do it?
What are data modeling and data mining?
where exactly in dataware house a confirmed dimension can be created
What is the advantages data mining over traditional approaches?