Getting started in the Analytics Platform

To investigate the cause of increasing optical encoder failures, you might look at environmental factors such as temperature, as temperature can affect these sensors. You can use Model-Prime's Analytics Platform to analyze the temperature data in the log that you found in the previous step using a Sagemaker Notebook.

1. To access the tutorial notebook file, click on the Demo Notebook link in the left navigation menu and save the file locally.

2. Click on Analytics Platform in the left navigation menu. A Launch button should appear.

3. Click on the Launch button to open SageMaker Studio.

4. In the Sagemaker studio home screen, click on View Jupyterlab spaces.

5. On the Jupyterlab page, click Create JupyterLab space.

6. In the dialog that appears, name your space mpdemo and accept the default sharing setting. Click Create space to continue.

7. On the space configuration screen click Run space.

8. Once the space is running, click open Jupyter lab.

9. In the JupyterLab launcher (which opens in a new tab), upload the Demo Notebook file you downloaded earlier to the file directory on the left, then double-click it to open.

10. In the Select Kernel dialog accept the default kernel and click Select. This will bring you to the notebook where you can continue the tutorial.