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Salesforce Data Architecture and Management

You're reading from  Salesforce Data Architecture and Management

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073240
Pages 376 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ahsan Zafar Ahsan Zafar
Profile icon Ahsan Zafar
Toc

Table of Contents (14) Chapters close

Preface 1. Section 1: Data Architecture and Data Management Essentials
2. Chapter 1:Data Architect Roles and Responsibilities 3. Chapter 2: Understanding Salesforce Objects and Data Modeling 4. Chapter 3: Understanding Data Management 5. Section 2: Salesforce Data Governance and Master Data Management
6. Chapter 4: Making Sense of Master Data Management 7. Chapter 5: Implementing Data Governance 8. Chapter 6: Managing Performance 9. Section 3: Large Data Volumes (LDVs) and Data Migrations
10. Chapter 7: Working with Large Volumes of Data 11. Chapter 8: Best Practices for General Data Migration 12. Assessments 13. Other Books You May Enjoy

Salesforce Connect and external objects

We briefly discussed external objects in the LDV section, but let's take a deeper dive in this section. Salesforce Connect is a point-and-click solution to integrate external systems with Salesforce without the need for writing complex code or requiring a middleware to move data across the systems. Data is queried from the external system on demand and made available to users in Salesforce. This way, you can easily integrate ERPs such as Oracle, SAP, or Microsoft, along with several other systems that support the OData protocol.

OData protocol

Short for Open Data Protocol, OData is a standard that's used for integrating disparate systems or databases. The OData protocol allows for the easy consumption of the interoperable RESTful (REST) APIs. The standardization of OData is its advantage given that you don't have to worry about the formats of different systems. Since both source and destination systems support the OData protocol...

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