Question

What compromise approach is suggested for the level of granularity in the data warehouse for data mining engagements?

a.

Store only light summaries

b.

Strive to store detailed data unless it's a burden

c.

Extract detailed data directly from operational systems

d.

Only keep high-level summaries

Posted under Data Warehousing and OLAP

Answer: (b).Strive to store detailed data unless it's a burden Explanation:It is suggested to strive to store detailed data unless it is a huge burden, as detailed data is essential for data mining engagements.

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Q. What compromise approach is suggested for the level of granularity in the data warehouse for data mining engagements?

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