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Series
A daily breakdown of Salesforce Data Cloud (Data 360) — one lecture, one concept, one real-world scenario at a time. Built from hands-on course notes and real implementation thinking, not just theory.
Table of Contents The broader data challenge Why traditional integrations break down The business problems Data Cloud actually solves A real scenario: three orgs, one confused customer The goal —
Table of Contents The seven-stage flow Step 1: Identify data sources Step 2: Connect the data sources Step 3: Ingest the data — batch vs. streaming Step 4: Harmonize the data Step 5: Unify the data S
Table of Contents The business scenario How Data 360 handles messy identity Unified record vs. golden record — Data 360 vs. MDM The four primary purposes of Data 360 What Data 360 is not Capability a
Table of Contents Why these concepts matter Data warehouse Data lake Data lakehouse Comparing the three Where Data 360 fits The library analogy Key terms Memory aid Knowledge check Three d
Data Cloud Deep Dive — Day 5: Data 360 Provisioning — Existing Org or Dedicated Org? Series: Data Cloud Deep Dive | SwiftNotes by Raj Table of Contents Why provisioning is an architectural decision A
Table of Contents What is a Data 360 sandbox? Supported sandbox types The rule that matters: metadata-only What actually gets copied Why use a Data 360 sandbox What the sandbox does not provide
