Get Started with Data 360 and Integration
This section covers how to architect data platforms and integrate Salesforce with enterprise systems. These articles provide essential knowledge for building unified data architectures and connecting Salesforce with your broader technology ecosystem.
Data 360 Architecture introduces Salesforce's next-generation data platform designed for the AI-powered future. This comprehensive guide covers:
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Modern Data Platform Architecture: Data 360 integrates AI/ML, decentralized data, cloud lakehouses, unstructured data, knowledge management, and real-time processing.
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Design Principles: Openness, interoperability, multi-model storage, metadata-driven design, real-time hybrid processing, intelligent data, governance, and one-to-many tenancy.
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Key Differentiators: Federates with Snowflake, Databricks, BigQuery, and Redshift, extending Customer 360 without duplicating existing investments.
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Use Cases and Capabilities: Enables real-time insights, autonomous decision-making, and unified access to structured and unstructured data.
This document is essential for enterprise architects and CTOs planning their data strategy for the agentic enterprise era, providing both strategic guidance and technical deep dives into Data 360's architecture.
Integration Patterns provides a comprehensive guide to integrating the Salesforce Platform with other applications in your enterprise. This document offers:
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Pattern-Based Approach: Integration patterns for common scenarios, distilled from successful Salesforce implementations.
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Pattern Selection Guide: A matrix to choose the right pattern for your specific integration scenario.
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Integration Best Practices: Tips to build stable, scalable, and maintainable integrations quickly.
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Comprehensive Coverage: Patterns for real-time sync, batch processing, data migration, and event-driven architectures.
This document is designed for architects and developers who need to integrate Salesforce with other enterprise applications. Salesforce's own consulting architects use these patterns as reference points during architectural reviews, making this an authoritative guide for integration architecture.
These two articles work together to help you understand both how to architect modern data platforms with Data 360 and how to integrate Salesforce effectively with your existing enterprise systems. Start with Data 360 Architecture to understand the data platform capabilities, then explore Integration Patterns to learn how to connect Salesforce with your broader technology ecosystem.