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Salesforce Data Architect Certification Guide

Salesforce Data Architect Certification Guide

By : Aaron Allport
5 (4)
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Salesforce Data Architect Certification Guide

Salesforce Data Architect Certification Guide

5 (4)
By: Aaron Allport

Overview of this book

The Salesforce Data Architect is a prerequisite exam for the Application Architect half of the Salesforce Certified Technical Architect credential. This book offers complete, up-to-date coverage of the Salesforce Data Architect exam so you can take it with confidence. The book is written in a clear, succinct way with self-assessment and practice exam questions, covering all the topics necessary to help you pass the exam with ease. You’ll understand the theory around Salesforce data modeling, database design, master data management (MDM), Salesforce data management (SDM), and data governance. Additionally, performance considerations associated with large data volumes will be covered. You’ll also get to grips with data migration and understand the supporting theory needed to achieve Salesforce Data Architect certification. By the end of this Salesforce book, you'll have covered everything you need to know to pass the Salesforce Data Architect certification exam and have a handy, on-the-job desktop reference guide to re-visit the concepts.
Table of Contents (23 chapters)
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1
Section 1: Salesforce Data Architect Theory
9
Section 2: Salesforce Data Architect Design
15
Section 3: Applying What We've Learned – Practice Questions and Revision Aids

Summary

In this chapter, we covered a lot of the theory behind MDM, having a single source of truth for data records, and some methods for its implementation, along with considerations for doing so. While Salesforce is often implemented to act as the de facto source of truth, it is important to understand why that often drives these decisions and the benefits it gives, hence spending time on the theory of MDM. With that theory understood, it should become clear how Salesforce fits into an organization's MDM strategy.

We've looked at why data quality is important in the context of MDM, and why it is important to preserve data attributes across the systems in the enterprise that constitutes the single source of truth, or golden record.

We turned our attention to MDM implementation in Salesforce, touching on the use of middleware, and highlighting the data migration exercise that will invariably accompany a Salesforce go-live.

We have covered what a golden record is...

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