Video #10 Extracting & Storing Multiple Emails per Customer in Custom DLO | Data Cloud Course Series

In this video from saasguru, we dive into the process of transforming contact information from AWS S3 to create a custom email address list using Salesforce Data Cloud. Follow our step-by-step guide to master batch data transformation, including filtering primary and alternate email addresses, adding custom keys, and more. Whether you're managing customer data or learning advanced data transformation techniques, this tutorial has got you covered.
📌 Key Steps Covered:
1. Data Transformation: Learn how to transform AWS S3 customer data to create a custom email address list (DLO).
2. Batch Data Transform: Step-by-step instructions on using batch data transform for efficient data processing.
3. Filter Transformation: Extract primary and alternate email addresses using custom filters.
4. Custom Formula & Concat Function: Add unique keys to your data with custom formulas and concatenation.
5. Edit Attributes & Data Link Objects: Rename columns and map data accurately using Data Lake Objects (DLO).
6. Append Transformation: Combine multiple transformations for a comprehensive customer email address list.
By the end of this video, you'll be equipped to handle complex data transformation tasks and improve your customer data management using Salesforce Data Cloud and AWS S3.
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Here is what we covered:
00:00 - Intro | Extracting and Storing Multiple Emails per Customer in Custom DLO
00:03 - Transform contact information from AWS S3
01:13 - Next we are going to use transform to add an identifier key
02:27 - Now let us load the output of this transformation into the D L O
04:43 - We'll append the output of this transformation
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