Datablazer Community Group

Datablazers, we’re taking the big stage at Dreamforce!

In just a couple weeks, we’ll be talking about a challenge I know a lot of us are thinking about: AI is moving fast, but it’s only as good as the data and context behind it. 

Join us live or tune in virtually to the Data 360 Keynote to see how our latest innovations can help you get it right. 

🗓️ Wednesday, September 16 | 3:45 PM PDT 

📍 Moscone West, L3, Room 3001 

We don’t want to give away all the surprises just yet, but trust us… you’re going to want to be in the room for this one. We have some special moments planned for you! Come ready to learn, get inspired, and see our community show up on one of the biggest stages. 

I’ll see you there! 

Add it to your Dreamforce schedule: https://sforce.co/4wPeDbV

 Experience  #DF26 on Salesforce+: https://www.salesforce.com/plus 

⭐️ Master the Basics of Data Exploration with Data 360 Query Editor ⭐️ 

Ever wonder how to quickly pull the exact business answers you need? This module guides you step-by-step through the main features of the Data 360 Query Editor. You will learn how to create your workspace, run simple queries, and pull the exact information you need without getting overwhelmed.  

👉  Complete this Trailhead Module 

☕ Quick reminder: Datablazer Coffee Chat is happening tomorrow, Aug. 25 at 9 a.m. PT!

If you’re thinking through where you’re going with your data architecture before you start building the pipes, come join the conversation. We’ll be talking through what the architecture actually needs to enable, with plenty of space to ask questions, share what you’re working through, and learn from one another. 

The Data 360 G2 Giveaway is officially closed! 🎉

A huge thank you to everyone who took the time to share their Data 360 experience on G2. We’ll be announcing the 25 Datablazer hoodie winners soon, so keep an eye on your inbox!

Thanks again to everyone who participated and shared their voice!

We're syncing several tables from Amazon Redshift into Salesforce Data 360 via a Redshift Connector. Our initial ingestion consumed a large percentage of our Data Service Credits, so we're now trying to understand the credit implications of subsequent updates. 

If an entire source table in Redshift is updated (e.g., a bulk UPDATE that touches every row, or a full table rebuild/recreate), does the next Data 360 refresh treat this as a full re-ingestion — consuming roughly the same number of credits as the initial load? Or does Data 360's incremental sync still detect and ingest only the changed rows in that case? 

• We've set up incremental sync using a datetime field per Salesforce's documentation.
• We created Redshift views (rather than syncing raw tables directly) to limit scope and reduce transformation-related credit consumption, since we confirmed transformations also draw from the credit pool.