Regular maintenance of your TM1 server will help keep it healthy. Here is our guide for what you need to do systematically to maintain great TM1 server health.
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 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.
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.
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.
This is a fabulous article from our friends at Ironside in the US. The original article is available here. There are various approaches available to enhance the performance of your TM1
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.
Before I get started on this subject I must put down a disclaimer that I don’t actually know the exact workings of TM1 especially in regards to Parallel Interaction. I’m relying
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© Copyright Exploring TM1 Pty Ltd | All rights reserved. | Privacy Policy | ABN: 98 122 867 976
