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Zero Copy

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Data 360

Salesforce Data Architecture Guide: System of Record, Canonical Models & Scale

💬 In plain words: Data architecture is deciding—on purpose—which system OWNS each record and field (the System of Record), what your standard data dictionary looks like (the Canonical Model), how copies stay in sync, and who is allowed to change what. Integration just moves data from point A to point B. Data architecture decides why it moves and where the truth lives.
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Salesforce Architecture & DevOps

Salesforce Data 360 & the 5 Pillars: Architecture, Pipeline, and Best Practices

⚡ 1-Minute Summary The 5-step data lifecycle: Connect, Harmonize, Unify, Analyze/Predict, and Act. Data pipeline path: Raw data lands in a Data Lake Object (DLO) , is staged in a Data Source Object (DSO) , and maps to a canonical Data Model Object (DMO) . Segments and insights read only from DMOs. Zero-Copy architecture: Move the query, not the data. Federate large external datasets from Snowflake, BigQuery, or Databricks instead of copying them.
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Topic AI
AI Fundamentals

Salesforce Genie (Salesforce Data 360): Real-Time Hyperscale Architecture & AI Guide

💬 In plain words: Salesforce Data Cloud (previously branded as Salesforce Genie and Customer 360 Audiences ) is Salesforce's hyperscale data engine. It connects high-volume event streams, CRM records, and external cloud data warehouses (such as Snowflake, BigQuery, Databricks, and Redshift), maps them into a canonical Customer 360 Data Model, and resolves fragmented records into a single Unified Individual profile that powers Flow automation, analytics, and Agentforce AI. Standard Salesforce CRM tables ( Account , Contact , Lead , and Case ) are built for transactional consistency, complex record-level sharing, and human-driven updates. However, when a company tries to push millions of daily mobile app events, e-commerce cart clicks, IoT telemetry pings, or external ERP invoices directly into standard CRM objects, they quickly hit data storage limits and record-locking bottlenecks. To solve this without forcing teams to build fragile custom middleware, Sal...
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Topic Agentforce
Agentforce

Salesforce Customer Data Platform (CDP) to Data Cloud: Complete Architecture Guide

In plain words: A Customer Data Platform (CDP) brings all your customer information together from websites, mobile apps, sales orders, email campaigns, and support chats into a single place. In Salesforce, CDP has evolved into Salesforce Data Cloud —a real-time engine that matches duplicate records, builds a single 360-degree customer profile, and feeds live customer context directly to sales reps, service agents, and autonomous AI agents. Modern enterprises interact with customers across multiple digital channels—including e-commerce stores, mobile applications, loyalty programs, email campaigns, and point-of-sale systems. When this data remains scattered across isolated databases, businesses struggle to build a consistent view of the customer journey. Salesforce's Customer Data Platform (CDP)—now modernized as Salesforce Data Cloud under the Einstein 1 Platform —solves this fragmentation by delivering real-time data ingestion, automated identity resolution, an...
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