Salesforce Datorama Data modeling and mapping | Creative Partnerships in datorama what is it

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Here are the main concepts covered in this video:
1. The text is describing the process of mapping data models in a data science project.
2. The mapping process should use careful consideration of different types of relationships like one-to-one, one-to-many, many-to-many, and exchange columns.
3. The process includes checking data stream types, mapping and unmapping fields, creating custom and mapping device fields, and writing formulas.
4. Verifying the mapping from paper tables, dealing with custom columns, and understanding how calculated measurements react to native variables is important.
5. Pivoting is helpful in checking created calculated measurements and their compatibility with existing columns.
6. The process also includes previewing data in pivot tables and exporting or creating widgets to verify the data.
7. The automating part of the process involves uploading data in different formats, which can be recognized by DataRama without following a specific date format.
8. The text also mentions previewing data after API connection but does not provide information on how to do so.
9. The text concludes with a statement that the process has been done, and the text is small and can be skipped for now.
10. The text does not explicitly state any other processes or next steps that need to be taken after mapping and previewing data. in Salesforce Datorama
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Skills you will learn:
Data mapping best practices in Salesforce Datorama : One-to-one, many-to-one, and many-to-many relationships in Salesforce Datorama : Creative strategy and exchange columns in Salesforce Datorama : Salesforce Datorama Custom fields creation using Formless : Salesforce Datorama Verifying data from paper table after mapping : Custom columns awareness and dealing with native columns in Salesforce Datorama : Calculated dimensions and measurements creation and management in Salesforce Datorama : Pivoting for data visualization and export in Salesforce Datorama : Automating the data stream creation process in Salesforce Datorama : Date format recognition and mapping in data streams in Salesforce Datorama
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