Oracle Business Intelligence with big data

Has anyone implemented OBIEE 10g utilizing a denormalized data model for a very large transactional data set? There is a potential to generate reports in the 100s of millions of rows, with the data warehouse storing fact tables that have ~1.5 billion rows with a data consumption rate of over 200GB per month.
Does anyone have any best practices, tips, or advice to determine the feasibility of implementing OBIEE 10g for such a large volume? The data is transactional and there are no current requirements for aggregate data sets. Is it feasible to use OBIEE Answers to generate these types of reports? Thus far I've seen OBIEE Answers hanging/crashing on reports that are > 10MB in size. Any configuration tips or feedback would be appreciated.
Thanks,
John

I think with Big Data environment you need not worry about caching, runtime aggregation and processing, if your configuration is right. The hardware along with distributed processing would take care of most of the load since Big Data database are designed to be in-memory and highly responsive.
The thing you should consider that final output should not be too large. What I mean is, your request can process 100 million rows on database, but final output can be 1000 rows, since BI is all about summarization.
If you have large data thrown to the Presentation Server, it could make presentation service unstable.

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    帖子经 user12986314编辑过
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