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Making TM1 applications faster and lighter
There are three key principles that a IBM Planning Analytics powered by TM1 (TM1) developer needs to keep in mind when building TM1 applications:
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Finding ideal dimensions order with OptimusPy
This article explains how to leverage OptimusPy to optimize your cubes for performance and memory.
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TM1 hidden features
IBM Planning Analytics powered by TM1 (TM1) is full of features, over the years the IBM server team continues improving it to meet various customer requirements. This article digs into some of its hidden features. All features described below are currently undocumented, use them with care!
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RushTI optimized mode
RushTI now has an alternative execution mode: OPTIt allows for an optimized execution schedule.
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Getting Slice logs
To see Slice logs
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Uninstalling Slice for TM1
If Slice was installed with the installer, you will find the Uninstall.exe file in the slice installation folder by default C:Program FilesSlice.
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Configuring Slice – Settings
Slice Settings can be updated through the Settings button from the Excel ribbon:
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Loading data into a TM1 cube with TM1py
This article explains three methods of loading data into a TM1 cube with TM1py.
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Analyzing your TM1 application with Arc
Arc for TM1 has been built by TM1 developers for TM1 developers. Starting with v2.1, Arc analytics features are now free to use such as the cube viewer, subset editor and execute a process or chore.
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Updating dimensions with TM1py
This article explains two different ways to update dimensions with TM1py.