Provision the service
Watch this short video to see how to provision the IBM Analytics Engine service in IBM Cloud and how to associate the service with a project in IBM Data Science Experience.
There are other ways to provision the service. See the documentation to learn how to:
End-to-end use case scenario
Watch this short video to see how to manage the service, connect to the service, and use the service in a Data Science Experience notebook.
Use the Spark component of the IBM Analytics Engine service
Watch this short video to see how to analyze and visualize data in a Data Science Experience notebook using Spark from the IBM Analytics Engine service. After you’ve watched the video, download the notebook from this github repository, and the data file from this github repository to try it for yourself!
Execute spark-submit jobs
Watch this video to see how to use spark-submit to execute a Python script on an IBM Analytics Engine cluster. The Python script used in this video is stored in a Watson Data Platform beta github repository.
Other ways to use IBM Analytics Engine
See the documentation to learn how to: