Developing with Data 360

Data Cloud (Data 360)Developing with Data 360The developer's toolkit for Data 360: Query API generations and the Connect REST SQL endpoint, Profile and Calculated Insights APIs, querying DMOs from Apex and LWC, data graphs, Data 360-triggered automation, vector and hybrid search for RAG, Einstein Studio, DevOps with data kits and sandboxes, testing strategies and security.Advanced · about 90 minutesWhat you will learn

Choose the right API (Query, Profile, Calculated Insights, Universal ID Lookup, Data Graph, Ingestion) for a use case

Query Data 360 with SQL over REST, handling authentication, pagination and query modes

Query DMOs and insights from Apex with SOQL and ConnectApi.CdpQuery and expose results to LWC

Explain data graphs and real-time data graphs and when to use them

Describe unstructured data, search indexes, chunking, hybrid search and retrievers for RAG

Use Einstein Studio for BYOM and BYOLLM scenarios

Set up a DevOps cycle with data kits and sandboxes, and test Apex that depends on Data 360

Secure Data 360 access with permission sets and data spaces

Contents

The API landscape

Querying with SQL over REST

Querying from Apex

Data graphs

Automation: Data 360-triggered flows and Apex

Unstructured data, vector search and RAG

Einstein Studio: models on Data 360

DevOps for Data 360

Testing Apex that uses Data 360

Security

Worked example: Customer 360 panel for service

Best practices

Common pitfalls

Hands-on exercises

Key takeaways