Category: Product
-
Clearing cube data with TM1py
Often when interacting with TM1 through TM1py, it is necessary to clear out a slice of a cube. Since release 1.5 there are four options to clear a slice in a cube. Let’s look at the pros and cons of each option.
-
Loading data into a cube from a CSV file with TM1py
This article explains how to load data from a CSV file into a cube with TM1py
-
TM1py v1.5 is now available
TM1py v1.5 is the most important release since the creation of TM1py. This release got the contribution from many people in the TM1 community such as @rkvinoth, @scrambldchannel, @rclapp, @ykud and @zPat to name a few.
-
Connecting to the IBM Cloud remotely with TM1py
In this article, we explain how you can use TM1py from your laptop/desktop and connect remotely to the IBM Cloud via the REST API.
-
Impersonate a user
From the Security page you can now impersonate a user to view how security is applied to them. Use it with care as all changes will be applied to the person you impersonate
-
Setting up native TM1 Open ID authentication
Starting with v2.0, Arc supports native TM1 OpenID authentication.
-
Troubleshooting Feeders in TM1 with Emojis
Emojis can do more than just make your messages fun. They can also be used to highlight important information, as Emojis are supported by most softwares. In IBM Planning Analytics and TM1, they are supported by Architect, TM1 Web and Planning Analytics Workspace.
-
Using the Arc Security tool for TM1
How to use
-
Getting started with Arc Desktop for Windows
On Windows, Arc is available as a desktop application or as a server. To install Arc as a server, the instructions can be found here. Arc Desktop and Arc Server have the same features except that it is easier to use multiple windows with Arc Desktop.
-
The Future of TM1 Time Dimensions in the World of Hierarchies
One of the most important considerations when designing a cube are the time dimensions. The vast majority of TM1 cubes will have at least one time dimension. It is the fundamental concept that allows the comparison of data between different periods.