This session involves a live demo of quick starting a new Einstein Analytics developer org, loading an external CSV into Einstein Analytics, transforming the data, then tying the data into actionable widgets in your end user's dashboard.
1. Part one of the session will be how to spinup a dev org, and the different ways you can load data into Einstein Analytics, I will then load sample data through CSV to create a dataset
2. Part two of the session will then utilize computeexpression node in the dataflow to create a custom field from the derived CSV that solely lives inside Einstein Analytics (Think a bucket formula, that acts like a Salesforce field)
3. Part three will then tie the custom express through a custom binding in the JSON of the dashboard, to then be filterable in a separate step
The last part of the session will be open to Q&A, to allow folks to ask questions about the session, or general Einstein Analytics questions.
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Earlier Event: January 18
Tahsin Zulkarnine: Large Scale Community Cloud Implementation with Advanced Sharing and Security
Later Event: January 18
Michael Norton: Heroku Integration for Salesforce