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Understand Data Spaces in Salesforce Data Cloud (Data 360): how they separate data by brand, region or business unit, and how to set them up.
How to use customer data ethically in Salesforce Data Cloud (Data 360): consent, trust and responsible cross-channel messaging best practices.
Learn how Data Transforms work in Salesforce Data Cloud (Data 360) and how they clean, join and reshape data coming from many different sources.
Understand the standard Contact Point and Party Identification DMOs in Salesforce Data Cloud (Data 360) and how they support identity resolution.
What Fully Qualified Keys (FQK) are in Salesforce Data Cloud (Data 360), why they matter when combining data from multiple sources, and how to use them.
Salesforce Data Cloud (Data 360) data modeling basics: data objects, mapping and relationships – the essential first step to a successful setup.
Step-by-step guide to sending data into Salesforce Data Cloud (Data 360) with the Ingestion API using Postman, from authentication to your first request.
How to connect Amazon S3 to Salesforce Data Cloud (Data 360): set up the connector, create a data stream and bring your files into Data Cloud.
How to connect your Salesforce CRM org to Data Cloud (Data 360) and bring in standard and custom objects using the Salesforce CRM connector.
An overview of Salesforce Data Cloud (Data 360) key capabilities – ingestion, unification, insights, segmentation and activation – explained simply.