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

Tuning Performance

In this chapter, we’ll cover the various methods available to tune performance when designing Salesforce applications on Lightning Platform. We’ll revisit several concepts we’ve already looked at, diving a little deeper into some scenarios to demonstrate the practical application of the techniques highlighted. By the end of this chapter, you’ll know of the various performance tuning techniques available when designing scalable solutions on the Salesforce Platform, with particular regard to data performance.

In this chapter, we’ll cover the following topics:

  • Skinny tables and other Large Data Volume (LDV) mitigation techniques
  • Query and search optimization
  • Task locks
  • Primary Key (PK) chunking to improve performance
  • Loading massive amounts of data

We’ll begin by looking at LDV mitigation techniques and tuning our Salesforce implementations when working with massive amounts of data.