Oracle Demantra Engine FAQ (Doc ID 854541.1)

Last updated on JULY 15, 2020

Applies to:

Oracle Demantra Demand Management - Version 7.2 to 7.3.1 [Release 7.2 to 7.3.0]
Information in this document applies to any platform.

Purpose

Many people treat the analytical engine as a black box, and think they have no means to influence it, both from the Analytical aspect and from the Performance aspect. During a Demantra Solutions Advisor Webcast there were provided some simple techniques on how to better control engine run time. He also demonstrated how the Demantra analytical engine can be tuned to run faster using setting options that allow you to minimize the engine run time. The following FAQ is a compilation of questions asked by users, like you, during this webcast.

The full recording for this advisor webcast can be found in <Note 800030.1>.

Questions and Answers

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In this Document

Questions and Answers

Where can I find the webcast material and recording for this, or other Demantra Solutions Advisor Webcasts?

Where do we set up the Branch Size and how many branches does an engine have?

Can you give us an example of a scenario where the top forecast level will not be a max forecast level?

Where can I find these sde% parameters?

Can virtualized servers be used for the engine blades?

What exactly is the difference between the internal and external logic controlled by SdeCreateSwitch? What is the external logic?

How do you check the number of combinations which where forecasted at any level in the forecast tree?

Why is the Thumb Rule for PTP engine always less than a DM engine? If the calculations for PTP are tougher than the resources availed by PTP should be more?

Do you have some pointers around how to execute the Insert Units procedure faster?

Is there anyway to speed up rolling update? When we have increased the volume of data the runtime for rolling update has increased and is now one of the main bottlenecks.

Why is virtualized engine blades not recommended by Oracle Support? What is the drawbacks?

Can you please comment on when the number of distributed engines you include creates so much overhead (ex. division of tasks) that it is not worth having that number of engines. In other words, when is 4 distributed engines actually better than 8 distributed engines?

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