Einstein Analytics Data Integration Basics

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  • Kick Off the Data Journey
    1. What type of data can a dataset contain?
      • Any of the above or a combination
    2. What is a benefit of using a dataset?
      • It lets you explore large amounts of data quickly
    1. What are the two main steps for creating a dataset?
      • Extract and prepare
  • Extract External Data into Analytics
    1. Why is it important to prepare the data in a CSV file before you bring it into Analytics? 
      • To make sure Analytics can set the field type correctly
    2. What can you do on the Edit Field Attributes page when uploading a CSV file to Analytics
      • All of the above
    1. Where can you view the status of a CSV upload in Analytics?
      • The data manager
  • Extract Salesforce Data into Analytics
    1. What can you do with the dataflow?
      • Extract Salesforce object data into Analytics
    2. Why is it important to select the right root object when you use the dataset builder?
      • The root object determines what related objects you can add to the dataset.  
    1. What dataflow information can you see in the Monitor tab of the data manager?
      • All of the above
  •   Prepare Your Data
    1. What can you do in a dataset recipe?
      • Combine data from different datasets
    2. Why would you use a merge key in a dataset recipe?
      • To join related data from different sources
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