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Customer Data Platform

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Salesforce Architecture & DevOps

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

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⚡ 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 Agentforce
Agentforce

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

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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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