TM1 Performance

What’s the Fastest Method to Copy Data from Cube to Cube?

What is the fastest way to get data from one cube to another via a TI – is it use a view of the source and the CellPut functions to load it or is it faster to Extract and Load?

Persistent Feeders in TM1 – Explanation and Implementation

Persistent Feeders can dramatically decrease the time required to restart a TM1 model. Here is an explanation of what Persistent Feeders are and instructions on how to implement them in your TM1 model.

Over Feeding in TM1 – What is it and How to Avoid it

Overfeeding is where TM1 feeders are targetting more cells than are required. This can lead to excess memory consumption and reduce performance. Here we explain over feeding and how to avoid it.

Setting Dimension Order for a TM1 Cube

Dimension order within cubes in TM1 is important not only for performance, but also for usability. When should you set the order for usability and when for performance? And how do you optimise the dimension order for performance? All these questions and more are addressed in this post from ExploringTM1.

TM1 Stargate Views Explained

This is a fabulous¬†article from our friends at Ironside in the US. The original article is available here….

Multi Threaded Queries (MTQ)

Multi-threaded queries allow TM1 to automatically load balance the application of cores by executing each query on a separate core. This multiple processing can improve efficiency and processing time for large queries and rules.

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