There’s a lot going on in the Datablazer Community right now, and honestly, some of the best stuff gets buried before most people ever see it.
So we’re trying something new: the Datablazer Roundup.
Each month, we’ll round up blogs, videos, events, conversations, and resources worth a read, a watch, a bookmark, or a share. It’s not everything, just a slice of what Datablazers are building, learning, and talking about lately.
And August gave us a lot to pick from. Datablazers have been getting hands-on with Agentforce Coworker, finding new ways to build with Data 360, testing AI-assisted implementations, and writing up what they’re learning as they go. With Dreamforce around the corner, the community calendar is filling up fast, too.
Here’s what stood out this month.
What Datablazers Are Writing
Agentforce Coworker is starting to land in practitioners’ hands, and that means we’re finally getting the good stuff: takes from people actually using it.
David Chater is one of the first Datablazers to share what he’s found. His first look covers what impressed him, where he sees potential, and what’s worth knowing before you start experimenting yourself.
We also heard from Japan. In 記者発表でのハンズオン体験ーAgentforce Coworker メディアブリーフィングに参加してきた, Yuka Satoh takes us inside an Agentforce Coworker media briefing and shares what she saw in the hands-on demos, plus what she came away with.
Two takes, one very new tool, and a lot more experimentation still ahead.
What happens when AI joins the implementation toolkit?
That question just got a lot more interesting.
In Implementing Salesforce Data Cloud with Claude Code and MCP, Mehmet Orun walks through building a Data Cloud implementation with Claude Code and Salesforce’s Model Context Protocol (MCP).
What makes this one worth your time is that it’s not hypothetical. It’s a real look at what AI-assisted implementation looks like in practice: where it saves time, and what he learned the hard way.
A Data 360 feature that deserves more attention
Sai Sumanth Avvari argues that Data Graphs might be one of Data 360’s most underrated capabilities in Why Data Graphs Might Be the Most Underrated Feature in Salesforce Data 360.
If you’ve been trying to figure out where Data Graphs fit into the bigger Data 360 picture, bookmark this one. Sai breaks down how they pull related customer data into query-ready views, and why that matters for everything from identity resolution and segmentation to real-time insights and AI.
Making zero-copy work harder
Zero-copy federation sounds simple: use the data where it already lives. In practice, your architecture choices still matter… a lot.
Jonas Eckhardt gets into one of those choices in Unlocking Peak Performance in Zero-Copy Federation: A Guide to Data Locality, explaining why data locality affects query performance and how smart federation design keeps you from moving data you don’t need to.
Data 360, without the UI
AI agents are only as good as the context they can reach. So how you get trusted enterprise data into agents, apps, and dev tools is becoming a bigger deal.
In Data 360 Headless: Extend the Power of Data 360 to Any Agent, App, or Dev Too, Mike Rogan looks at how Data 360 Headless opens that context up beyond the usual Data 360 interface, and what builders can actually do with it.
Your data model shouldn’t live in your head
Anyone who’s tried to explain a tangled data model to someone else will get this one.
In Get your Data Model Out of Your Head (and into a Diagram) using Salesforce CLI & Diagramforce, Cate Godley shares a practical way to turn Data 360 Data Model Objects (DMOs) and their relationships into a visual, shareable diagram using Salesforce CLI and Diagramforce.
It’s a lifesaver if you’ve inherited a Data 360 org (or ever had to explain one) and want a cleaner way to document relationships, troubleshoot field mappings, and hand off knowledge down the road.
What We’re Watching
Sometimes you just need to see it work.
This AI Coworker Saw What Humans Missed: Agentforce Coworker from Salesforce Ben puts Agentforce Coworker to work, showing how it surfaces insights that might otherwise slip through the cracks.
And if BigQuery is part of your stack, Steve Simpson has you covered. In Connecting Google BigQuery to Data 360, he walks through the integration and shows how to bring external data into Data 360 for a more unified view.
The Road to Dreamforce Starts Here
Dreamforce is almost here, and Datablazers are already finding ways to learn, connect, and rack up some steps.
Start with the Road to Dreamforce 2026 Quest. It pulls together curated Trailhead content to help you sharpen your skills before September’s keynotes, demos, and hands-on sessions. Finish the Quest and you might even walk away with a prize.
Speaking of steps: the Fitzblazer Challenge runs August 3 through September 13. You don’t have to attend Dreamforce, or even set foot in San Francisco, to join. Walk, run, hike, pace between meetings… it all counts.
If you are heading to San Francisco, block off some time.
#Bobablazers x Coffee Chat is September 15 at 4 p.m. PT in Yerba Buena Gardens, with fellow community members and free boba.
Then set an early alarm for the Dreamforce Community Fun Run on September 16 at 6 a.m. Run it, walk it, or just show up with coffee. All three are fair game.
Stop by the Data, Analytics & AI meetup in Community Cove on September 16 at 12:30 p.m. to mingle with data friends and enjoy some bites.
From Team Data 360
A couple of updates from our side this month.
First: Understanding Data 360 Pricing.
Pricing shouldn’t feel like a puzzle, so we put together a guide that explains how Data 360 pricing works using real scoping examples. Pair it with the Flex Credit Pricing Calculator to plug in your own numbers and get a clearer picture of what your use case might cost.
Second: there are now 75,000 Datablazers trading questions, answers, resources, and lessons.
To mark the milestone, the latest edition of The Data 360 Insider: 75,000 Datablazers Have Answered Your Next Question rounds up new resources, programs, and ways to connect.
75,000 is a big number. But the best part isn’t really the number itself. It’s knowing that when you hit a problem, try something new, or have a question you can’t quite figure out, chances are another Datablazer has been there too and is willing to share what they learned.
One More Thing for August
Grab a coffee.
The Datablazer Community Group is hosting its first-ever Datablazer Coffee Chat on August 24.
The topic: What does your data architecture actually need to enable?
Good question, and probably one with more than a few right answers. Come ready to share yours!
See You Next Month
That’s a wrap on our first Datablazer Roundup.
Since this is a community roundup, we want the community to shape what’s next. Writing about something you learned? Made a video? Built a tutorial? Hosting an event? Share it with #Datablazer and we’ll keep an eye out for great work to feature next time.
And if all this Dreamforce talk has you ready for September, there’s still time to join us in San Francisco, September 15 to 17. Register for Dreamforce to connect with fellow Datablazers, get hands-on with the latest from Salesforce, and see what’s next for data and AI.
See you at Dreamforce, and back here for the next roundup.