Book Image

Salesforce Data Architect Certification Guide

By : Aaron Allport
Book Image

Salesforce Data Architect Certification Guide

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)
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

Database modeling and database design

The following resources can be used to refresh your memory on the concepts we introduced on the topic of data modeling and database design.

Let’s begin by recapping the data modeling notation we introduced in Chapter 2, Database Modeling and Database Design:

Figure 14.1 – Data modeling notation

Next, let’s look at Many-to-Many relationships:

Figure 14.2 – Modeling Many-to-Many relationships

Next up is the sharing model:

Figure 14.3 – The Sharing model

Finally, we can retouch upon object and field storage:

Figure 14.4 – Object and field storage

Now let’s move on to master data management.