Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Salesforce Data Architect Certification Guide

You're reading from   Salesforce Data Architect Certification Guide Comprehensive coverage of the Salesforce Data Architect exam content to help you pass on the first attempt

Arrow left icon
Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781801813556
Length 254 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
Aaron Allport Aaron Allport
Author Profile Icon Aaron Allport
Aaron Allport
Arrow right icon
View More author details
Toc

Table of Contents (23) Chapters Close

Preface 1. Section 1: Salesforce Data Architect Theory
2. Chapter 1: Introducing the Salesforce Data Architect Journey FREE CHAPTER 3. Chapter 2: Data Modeling and Database Design 4. Chapter 3: Master Data Management 5. Chapter 4: Salesforce Data Management 6. Chapter 5: Data Governance 7. Chapter 6: Understanding Large Data Volumes 8. Chapter 7: Data Migration 9. Section 2: Salesforce Data Architect Design
10. Chapter 8: Accounts and Contacts 11. Chapter 9: Data APIs and Apex 12. Chapter 10: Tuning Performance 13. Chapter 11: Backup and Restore 14. Chapter 12: Territory Management 15. Section 3: Applying What We've Learned – Practice Questions and Revision Aids
16. Chapter 13: Practice Exam Questions 17. Chapter 14: Cheat Sheets 18. Chapter 15: Further Resources 19. Chapter 16: How to Take the Exam 20. Chapter 17: Answers to Practice Questions 21. Index 22. Other Books You May Enjoy

LDV performance mitigation strategies

There are several tools available to us as data architects when it comes to working with data and keeping things running as optimally as possible. Of course, we should first question what data needs to reside in Salesforce. How often should we consider moving data off-platform to reduce performance impacts due to having large amounts of data available? Typically, data of a certain age (determined by business requirements or regulatory requirements in some instances) should be archived regularly to ensure that users are only interacting with the data that makes sense to be hosted on the Salesforce platform.

With data that may need to reside on Salesforce, some other techniques are available that can improve performance:

  • Custom indexes
  • Skinny tables
  • Selective filter conditions
  • Divisions

Let’s take a look at them.

Custom indexes

To speed up query performance, Salesforce supports the creation of custom indexes...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image