Salesforce has been on a mission for years: get all your customer data into one place. That’s exactly what Data 360 (formerly Data Cloud) is built for—especially with 300+ native connectors to ingest, unify, and enrich data from pretty much anywhere. But the question I keep hearing is: great, how do you actually get data out of Data 360 and make it useful across the rest of your stack? In this video, I break down six practical extraction options, from admin-friendly no-code routes through to full developer integrations. I cover Data Activations (scheduled segment payloads) and Data Actions (near real-time, event-based triggers), including the tradeoffs—like segment latency (12–24 hours by default, or 1–4 hours with rapid segments) versus the simpler payload you get with actions. Then I get into Flow, which admins will love: Data 360 DMOs can trigger Flows, and HTTP callouts let you push unified data to external systems without writing code. From there, we step into architecture with zero-copy data sharing (a.k.a. zero ETL / BYOL), which I’m genuinely glad Salesforce chose—though as of March 2026 it’s not compatible with semantic search, which matters for agentic/GenAI use cases. Finally, I cover MuleSoft and direct APIs/webhooks, with a reminder: the real skill is choosing the simplest option that meets your requirements and keeps your system maintainable.