* Data Cloud for Marketing (fka CDP) *

Dreamin' in Data - Next Data Mastery Onsite workshop details live 

📍 Chicago | May 19–21 

If you’re working on Data 360, Agentforce, or broader data architecture, this is a great opportunity to go deeper with

Workshop

details are now live.  Experience the latest iteration of our Data Mastery Onsite, or brush up on integration or agentic skills wtih day long workshops by practicioners for practicioners. 

🔹

Focus on data strategy, profiling, readiness, and building a trusted foundation for AI and analytics

🔹 Integration Track

Connecting systems, patterns for data movement, and designing scalable architectures

🔹 Agent Track

From use case → implementation, with a focus on data readiness, guardrails, and real-world agent design

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In this POV ((https://partners.salesforce.com/0694V00000V0XAd) there is a general guidance slide for Dev and Production setup in which one Marketing Cloud Engagement instance is connected to both Dev/Sandbox and Production data cloud. We have create a Data Cloud sandbox and are planning to connect it to the Marketing Cloud Engagement (Test BU) for testing prior to connecting to Data Cloud prod instance.

Does anyone has experience connecting both Dev/Sandbox and Production Data CLoud instance to a single Marketing cloud instance. Can someone confirm if this is still valid and doable?

CLOSED: NO LONGER ACCEPTING PARTICIPANTS 

💙 Datablazer Hoodie Sweepstakes 💙 

 We’re giving away 10 Datablazer hoodies to 10 lucky community members who join and jump into the conversation. Do be sure to share with your network! 

How to participate:

1️⃣ Make sure you’ve joined the @Datablazer Community Group

2️⃣ Comment “Joined 💙” on this post

3️⃣ I will like your comment as receipt of your entry. Remember to have your Trailblazer profile set to public so I can double check! That’s it — super simple.

Details: Giveaway runs through the end of January  

10 Winners will be selected randomly   

We’re excited to keep growing this practitioner-first space for people building with Data 360 — thanks for being part of it 🙌 

Terms and Conditions apply  

@* Data Cloud for Marketing (fka CDP) * @* Data 360 * 

📚 Two Practitioner Deep Dives Worth Reading: RAG + Agentforce with Data Cloud

One of the things that makes the Datablazers community special is how often practitioners share real, usable guidance—not just opinions or announcements.

That’s why I wanted to highlight two recent SalesforceBen articles by Atlas Can, both of which do a great job breaking down how to actually build and ground agentic solutions using Salesforce Data Cloud and Agentforce.

📄 How to Build RAG-Powered Agents With Salesforce Data Cloud and Agentforce

• How to bring external and web-based content into Data Cloud in a structured way
• Applying retrieval-augmented generation (RAG) to reduce hallucinations
• Designing agents that reason over curated, contextual data, not raw inputs

📄 Connecting Agentforce to Data Cloud for Grounding with RAG

• How Agentforce actually connects to Data Cloud for grounding
• Architectural considerations for trust, context, and governance
• Where RAG fits relative to prompts, flows, and other agent patterns

What I appreciate about both articles is that they’re step-by-step, experience-based, and written by someone who has clearly spent time building—not just theorizing.

👉 I’d encourage everyone in the community to read both.  And if you don’t already know @Atlas Can, I’d strongly recommend connecting with him — a great practitioner, a thoughtful architect, and someone who genuinely gives back.

Curious to hear from the group:

• Where are you experimenting with RAG today?
• What’s been harder than expected?

We learn fastest when we share what’s working — and what isn’t. 

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