Category: Product
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Mastering the TM1 REST API with Postman
Do you want to do more with TM1? Since TM1 10.2, IBM introduced the TM1 REST API which enables you now to do pretty much anything you want with your IBM TM1/Planning Analytics application.
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Setting Up Windows (SSO) Authentication for Pulse
Starting now with Pulse v5.7.3, you can now use Windows (SSO) Authentication for Pulse. What that means is when you navigate to the Pulse website (or thick client) you can be automatically logged in with your Windows account. Windows Authentication provides two major benefits:
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How Cubewise Code will shape the future of IBM TM1/Planning Analytics in 2018
A lot happened in the TM1/Planning Analytics world in 2017. Canvas has been endorsed by many customers as their new way to build modern web planning and reporting applications. TM1py brought together for the first time, the TM1 and Python communities in order to find new ways to integrate external systems with your TM1 application.
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How Cubewise CODE has revolutionized TM1 Planning Analytics in 2017
A lot happened in 2017 in the IBM Planning Analytics (TM1) world. Here is a quick recap from Cubewise CODE.
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Getting started with Arc (IBM only)
Any IBMer (someone who owns an email with *.ibm.com as domain) can generate their own Arc license for use at either a client or on your work computer.
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FAQ TM1py
+ What is TM1py ? TM1py is a Python package that wraps the TM1 REST API in a simple to use library. That makes it easy to build stuff with TM1 and python. + What is Python ? Python is a widely-used general-purpose programming language that lets you work quickly and integrate systems more effectively.…
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Set up jupyter notebook
Jupyter is an open-source web application that enables you to mix code-execution and comments. It is great to tell a story and run through the code sections by sections.
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Check Connectivity with TM1
In order to check if TM1py can connect to your TM1 instance, you can use the check.py Python script from the samples. First download the samples from Github and then navigate to the TM1py-samples folder that you downloaded from Github, in this example the samples are located in the following folder:
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Set up your development environment
To use TM1py samples, you do not have to have a development environment, you can just edit the script in a text editor or in jupyter and then run the script. But if you want to dig deeper into the Python language, having a development environment will make your life easier.
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Run TM1py script from TM1 process
This article explains the steps to run a TM1py script from TM1 process.