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Understanding Data Cloud for Salesforce Developers
Learn what Data Cloud means for developers, how its artifacts are exposed as familiar platform metadata, and how to ingest and interact with your data using SQL, Apex, Flows, APIs, and SDKs.

, Lead Developer Advocate, Salesforce

, Senior Developer Advocate, Salesforce

Role: Developer
Session Level: Introductory
  • Wednesday, Sep 139:00 AM - 9:40 AM PDT
    (4:00 PM - 4:40 PM GMT)
    Room 3014 (Moscone West, Level 3)
Session Summary by Einstein: In this Dreamforce session, Danielle Larregui and Aditya Naag Topalli, senior developer advocates at Salesforce, introduced attendees to the capabilities of Data Cloud for developers. They demonstrated how to set up connectors and data streams, and how to use the Ingestion API for streaming and batch ingestion. They also showcased the integration of Data Cloud with Amazon SageMaker, allowing users to create AI models and use Data Cloud data for training. The speakers also touched on the upcoming features in the Winter '24 release, including integration with Google Vertex AI and point-and-click AI model creation. They concluded the session by demonstrating how to access Data Cloud data within Apex, enabling it to be surfaced in Lightning Web Components.
Key Takeaways by Einstein:
  1. • Salesforce's Data Cloud allows developers to ingest data in real time or in batches using the Ingestion API, providing flexibility in how data is brought into the system.
  2. • Data Cloud integrates with Amazon SageMaker, enabling users to create AI models and use Data Cloud data for training, offering advanced analytics capabilities.
  3. • Data Cloud can be accessed and manipulated within Apex, allowing for seamless integration with other Salesforce functionalities and the ability to surface Data Cloud data in Lightning Web Components.

From thought-provoking sessions to hands-on workshops, Dreamforce equips you with the tools and knowledge to succeed."

Nadina D. Lisbon

CRM Enterprise Architect

NetApp

Nadina D. Lisbon