12 c to Oracle business intelligence: is it really effective?

Hi experts,

I am Manager of the Business Intelligence service in a society. We use SAP BI4.1 SP3 and an Oracle 11 g server.

We have big questions about our various requests.

We are interesting in the migration to Oracle 12 c data and functionality "in memory".

But the one is commercial viewpoint, as "it's magic, you will have a x 100 improvement, you'll have to create tables to agregate.

I'm not sure it's that the real (but if it is, that would be great).

My data warehouse volume is 7.

The biggest volume of tables are 600 GB (+ key or index volume).

(1) if I use Oracle 12 c with all the features of 'magic', can I expect a big improvement in queries?

(2) if so, is there a lot of "tuning" on the database? is easy for a DBA?

(3) to use the "in memory" function, can put ALL my data warehouse in memory? (as with the HANA database)

(4) If Yes, thanks to compression, the amount of memory do I need on my server database?

(5) is there with oracle 12 c 'column 'store technology (as in SYSBASE)?

Thanks in advance for your advice and answers

A. Drieux wrote:

(1) if I use Oracle 12 c with all the features of 'magic', can I expect a big improvement in queries?

(2) if so, is there a lot of "tuning" on the database? is easy for a DBA?

(3) to use the "in memory" function, can put ALL my data warehouse in memory? (as with the HANA database)

(4) If Yes, thanks to compression, the amount of memory do I need on my server database?

(5) is there with oracle 12 c 'column 'store technology (as in SYSBASE)?

(1) overall characteristics of the 'magic' allow you to identify the data that you need very quickly. If you do a lot of processing of this optimal subset, then you'll be running to the 'normal' intensive speed from there.

(2) not a lot of development, provided the database is pretty well designed in the first place and you did something that works directly ON the privileged Oracle infrastructure - for example the use of the digital yyyymmdd is an obstacle to Oracle which has a very good knowledge of optimization through its date types.

(3) technically, you could - although according to your paritioning and requirements of how you use the data you can be choosy if you can't get your hands on enough memory.

(4) very hard to say - patterns in the data distribution make such a difference in the degree of compressibility, and there's always trade in the meantime CPU compression and decompression and compression level.  Store column in Oracle memory running at one of the lowest degrees of compression allows for example of filtered data without decompression that can allow selection of data extremely fast at the cost of increased memory use.

Yes 5)- and it works in pieces of 1 MB, so that (for example) 30 000 lines could be compressed into a piece of 1 MB with a few pieces of metadata of 64 k which record critical summary information about the piece of 1 MB, enabling a request completely ignore a piece of 1 MB, as the metadata shows that there will all the relevant data in the block.

Concerning

Jonathan Lewis

Tags: Database

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