Salesforce Datorama Create a formula | Salesforce Datorama Data validation with paper table

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Here are the main concepts covered in this video:
Salesforce Datorama Below is a summary of the text in 10 steps
1. The speaker discusses the use of formulas to organize data in a data stream.
2. They mention the use of parent-child relationships to create hierarchies in data streams.
3. The importance of data classification in organizing data at a data stream level is discussed.
4. The speaker then talks about patterns in data and how they can be used to segment data based on specific criteria.
5. They discuss the need for data transformation to create harmonization in data streams, such as changing rows to columns.
6. Calculated dimensions are introduced as a way to create overarching entities that help connect different types of data streams into a single bucket.
7. Real time queries are discussed and how calculated dimensions can accommodate this feature.
8. The speaker notes that calculated dimensions are flexible and easy to maintain, as they allow for changes to the entire data stream without impacting the rest of the data.
9. They mention that calculated dimensions support a variety of functions and logical conditions, making them useful for data harmonization and logical insights.
10. The speaker concludes by emphasizing the importance of calculated dimensions in organizing data and making it easier to analyze and understand.

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Salesforce Datorama Formula needed : Salesforce Datorama Custom attribute : Media in Salesforce Datorama : Salesforce Datorama Spend in clicks : Salesforce Datorama Data classification : Salesforce Datorama Data stream : Talk about patterns in Salesforce Datorama : Salesforce Datorama Transformers : Rows in Salesforce Datorama : Calculated dimension in Salesforce Datorama

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