Название: Practical Salesforce Architecture: Understanding and Deploying the Salesforce Ecosystem for the Enterprise (4th Early Release) Автор: Paul McCollum Издательство: O’Reilly Media, Inc. Год: 2023-06-01 Страниц: 110 Язык: английский Формат: pdf, epub (true), mobi Размер: 10.1 MB
Once renowned as a customer relationship management (CRM) tool, Salesforce has evolved into a cloud-first application and capability ecosystem. With dedicated components for tasks such as middleware, big data, reporting, ETL, data loading, and API orchestration, Salesforce has become more prevalent in modern architectures.
This concise, yet comprehensive guide provides an overview of Salesforce architecture for enterprise architects and Salesforce ecosystem architects. Author Paul McCollum, Salesforce technical architect at Accenture, provides a roadmap for integrating major elements of the Salesforce ecosystem with planned or existing enterprise architecture. You'll learn how to use these components to address the diverse needs of different organizations.
Many companies today are adding or building multicloud capabilities and incorporating various elements from the Salesforce ecosystem. With this book, you'll learn:
Strengths, weaknesses, and growth areas of Salesforce's EA domain features How Salesforce compares to other cloud providers Methods for using the Salesforce ecosystem effectively to address your organization's needs How to integrate Salesforce with planned or existing enterprise architectures Ways to manage and forecast performance, complexity, and ease of operation across the Salesforce platform
Foreword (...looking statement) 1. Main Application Functionality and Capabilities 2. How It All Works Basic Concepts of the “Full Stack” Basic Product Stacks Physical Systems and Infrastructure Concepts Enterprise Architecture Capabilities Enterprise Software Capabilities Functional Capabilities and Products Summary 3. Data Tables and Rows Relationships RecordTypes Triggers and Flows Big Objects (NoSQL) External Objects (Mapped Data Sync) and Files Remote Data Queries Flat File Data Data Architecture Considerations Master Data Management Reporting Bulk Import of Data Gotchas Growth Summary 4. Data & Architecture Constraints 5. Middleware and Connectivity
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