Datablazer Community Group

📣 It's back. Mark your calendars, lace up your shoes, and get ready to run (or walk, or stroll with coffee in hand) through one of San Francisco's most iconic backdrops. 

Registration is officially open for the Annual Dreamforce Community Fun Run! 

We will once again meet up for an  at-your-own-pace 5K. Open to  ALL (Trailblazers, Customers, Partners), this beloved tradition brings together Trailblazers for a morning of movement, connection, and fun, plus limited swag for customers while it lasts. 

🗓️ Wednesday, September 16, 2026

📍 6:00 AM

📌 Ferry Building Marketplace 

🔗 https://invite.salesforce.com/df26communityfunrun

📍Run Route: https://success.salesforce.com/06930000005Q0j7

Important Notes: 

Start & Finish: The run will begin and end on sidewalk directly in front of the Ferry Building's main staircase (as is tradition), we'll loop around AT&T Park, and head back to the start. 

Bags: Please leave bags and personal belongings at your hotel. We do not have the ability to store or monitor bags. We are in a public space.

Notes: This is not timed and very informal.

Grab your spot, bring a friend, and help us make this year's run the biggest one yet. 

@New to Dreamforce  @Flyin' Solo  @WELLforce  @Fitblazer Community  @Dreamforce for Admins @Nonprofits at Dreamforce  @Trailblazer Community Cove  @MomentMarketer Community Group @All Dreamforce @* Salesforce Administrators * @Salesblazer Community Group @Serviceblazer Community Group @Commerce Trailblazers @Datablazer Community Group

Hello Datablazer!  

As you know, AI agents are only as good as the data feeding them. If customer data is fragmented across systems, AI can't deliver accurate experiences, creating what we call identity debt. Following my recent TDX session, I published a breakdown on the Salesforce Architecture blog: 4 Steps to Eliminate Identity Debt with Data 360. 

Here is the quick framework:  

1️⃣ Standardise – Cleanly ingest identity data.  

2️⃣ Resolve – Build unified profiles with clear rules.  

3️⃣ Harmonise – Align data models across systems.  

4️⃣ Activate – Feed trusted context into your AI. 

Mehmet kindly suggested to share the article in this community.  

A couple of points he kindly raised (Thank you!): Cleansing and filtering bad data directly at the source is preferred whenever possible to prevent false matches during Data 360 transformations. Additionally, because Data 360 resolves phone numbers for matching without standardising their output, complex country-specific formatting is best managed using external enrichment services like Google’s libphonenumber. 

📖 Article:

📺 TDX Replay:

Big thank you for Miriam McCabe for her amazing support throughout this journey.  

I hope you'll find this article interesting and a valuable use of your time. Thank you and have a lovely weekend! 

I just started to explore Data 360, and I picturise the concept like this, Is it a good thought 😊  

Hi everyone,

I am looking to dive deep into Salesforce Data Cloud (Data 360), but I am facing a real challenge as a beginner.

While platforms like Trailhead are great for definitions and theoretical concepts, they often lack the depth needed for true hands-on learning, self-paced onboarding, and job readiness.

Here is the current reality for anyone trying to learn Data Cloud independently:

• Scattered Resources: High-quality learning material is completely scattered across the internet. It feels impossible to find a structured path.
• Lack of Beginner Tutorials: If you search YouTube or Google, you will find endless tutorials for Sales Cloud or Service Cloud. However, Data Cloud resources are extremely limited.
• Only Short Glimpses: The existing free videos only show short clips of mapping, identity resolution, or segmentation. There is almost nothing that teaches Data Cloud from "A to Z" or scratch for someone with zero prior experience.
• No Hands-on Orgs: Getting a proper sandbox or practice environment to learn on our own from home is a massive hurdle.

I want to learn this entirely on my own, at home, without paying hefty coaching fees.

My questions to the amazing leaders and experts in this community:

1. Is it truly possible for a beginner to master Data Cloud from scratch through self-study?
2. Apart from Trailhead, what structured resources, documentation, or hidden guides can we follow?
3. How can a beginner get practical, hands-on experience and become job-ready on their own?

Would love to hear your insights, tips, and roadmaps! Let's help the community grow. 👇

#data360 #Trailhead Challenges #Data Cloud

⭐️  NEW: Data 360 July Monthly Release Summary ⭐️   

Here are the new Data 360 features released in July ’26.

• Private Connect: Connect Data 360 to Snowflake on Azure with a Salesforce-Managed Private Network Route
• Enterprise Knowledge:
  • Ingest Guru Cards into Data Cloud
  • Extract Custom Metadata from Web Content Connectors
• Connectors:
  • Ingest Data from Microsoft Fabric into Data 360 (Generally Available)
  • Ingest Confluence Cloud Content into Data 360 (Generally Available)
• Data Graphs: Simplify Real-Time Data Graph Configuration
• Simple Start: Speed Up Data 360 Setup with Simple Start
• Document AI:
  • Export and Import Document AI Schemas as JSON (Generally Available)
  • Extract Data from Word, PowerPoint, and Excel Files in Document AI
• Parsers:
  • Process Unstructured Data with Your Preferred LLM
  • Process Complex Tables with Docling Parser and LLM-based Image Processing
  • Use LLM-Based Parsing and Preprocessing on DMOs with File Attachments
• Agentic Memory and Context: Preserve Agent Memory Across Sessions Without Requiring Customers to Repeat Information
• Intelligent Context: Use Search Indexes and Intelligent Context with Platform Encryption
• Retrievers:
  • Preview and Validate Citations in Retriever Playground
  • Create, Manage, and Test Retrievers in Data Cloud One Configurations
• Code Extension:
  • Access Code Extension from Data Cloud Setup
  • Make Generative AI Calls from Code Extension Batch Transform Scripts
• Segmentation: Simplify Segment Filters with Reusable Attribute Shortcuts
• Activations: Activate to More Destinations in Data Cloud One Companion Orgs
• Ad Audiences: Measure Ad Performance with Pinterest Conversion API
• Data 360 Connect REST API:
  • Connect REST API
  • Manage Retriever Operations (Pilot)

👉  Find the full list on this page.