Integrating Oracle Fusion Sales Cloud with Oracle Business Intelligence Cloud Service (BICS)

Ever wondered how to integrate Oracle Fusion Sales Cloud with Business Intelligence Cloud Service (BICS) ?
The blog outlines how to programmatically load Sales Cloud data into BICS, making it readily available to model and display on BICS dashboards.
http://www.ateam-oracle.com/integrating-oracle-fusion-sales-cloud-with-oracle-business-intelligence-cloud-service-bics/

I wouldn't try installing Oracle VM itself on an EC2 instance, as EC2 is essentially Xen itself. Rather, you should just be able to transport existing Oracle VM images to the EC2 cloud. I think this is what you mean, but your opening paragraph is slightly ambiguous. :)
From a VPN perspective, I'd use OpenVPN as it has clients for all major operating systems (Windows, MacOS X, Linux) that are fairly easy to package and install. Packages for OpenVPN exist in EPEL so it's easy to install on OEL5. You could also consider using a firewall instead of a VPN and only allowing connectivity from specific IP addresses/ranges. This has the benefit of not requiring client software, but it does require a fixed IP address/range on the client-side.

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    Rgds, Pierre

    I have been working a lot on that issue recently, I can give some more info.
    First I totally agree with you, I don't like to use the keep_pool and I would love to avoid it. On the other hand, we have a specific use case : 90% of the activity in the DB is done by queuing and dbms_scheduler jobs where response time does not matter. All those processes are probably filling the buffer cache. We have a customer facing application that uses the text index to search the database : performance is critical for them.
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    In my case, I have learned the hard way that having the index in memory (the DR$I table in fact) is the key : if it is not, then performance is poor. I find it reasonable to pin the DR$I table in memory and if you look at competitors this is what they do. With MongoDB they explicitly says that the index must be in memory. With elasticsearch, they use JVM's that are also in memory. And effectively, if you look at the awr report, you will see that Oracle is continuously accessing the DR$I table, there is a SQL similar to
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    - this in combination with the fact that if you are on a RAC, you won't see any activity on the box can be very frightening : this is because oracle can choose to start the workers on the other node.
    I understand much better how the text indexing works, I think it is a great technology which can scale via partitioning. But like always the design of the application is crucial, most of our problems come from the fact that we did not choose the right sectioning (we choosed PATH_SECTION_GROUP while XML_SECTION_GROUP is so much better IMO). Maybe later I can convince the dev to change the sectionining, especially because SDATA and MDATA section are not supported with PATCH_SECTION_GROUP (although it seems to work, even though we had one occurence of a bad result linked to the existence of SDATA in the index definition). Also the whole problematic of mixed structured/unstructured searches is completly tackled if one use XML_SECTION_GROUP with MDATA/SDATA (but of course the app was written for Oracle 10...)
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    https://support.oracle.com/CSP/ui/flash.html#tab=KBHome(page=KBHome&id=()),(page=KBNavigator&id=(bmDocTitle=Starting%20With%20Oracle%20JDBC%20Drivers&from=BOOKMARK&viewingMode=1143&bmDocType=FAQ&bmDocDsrc=KB&bmDocID=401934.1))
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