The marketing team is looking to share data in an aggregate table with the sales organization, but the field names used by the teams do not match, and a number of marketing-specific fields have not been approved for the sales org.
Which of the following solutions addresses the situation while emphasizing simplicity?
- Create a view on the marketing table selecting only those fields approved for the sales team; alias the names of any fields that should be standardized to the sales naming conventions.
- Create a new table with the required schema and use Delta Lake's DEEP CLONE functionality to sync up changes committed to one table to the corresponding table.
- Use a CTAS statement to create a derivative table from the marketing table; configure a production job to propagate changes.
- Add a parallel table write to the current production pipeline, updating a new sales table that varies as required from the marketing table.
- Instruct the marketing team to download results as a CSV and email them to the sales organization.
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