Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Salesforce Data Architecture and Management

You're reading from   Salesforce Data Architecture and Management A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively

Arrow left icon
Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073240
Length 376 pages
Edition 1st Edition
Concepts
Arrow right icon
Author (1):
Arrow left icon
Ahsan Zafar Ahsan Zafar
Author Profile Icon Ahsan Zafar
Ahsan Zafar
Arrow right icon
View More author details
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 FREE CHAPTER 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

Summary

We started off by discussing the types of databases to give an overview of what is out there. We all know that the Salesforce platform is largely built on relational databases, more specifically, Oracle databases, but not everything in the Salesforce ecosystem is hosted on a relational database.

The discussion around determining whether you are in an LDV scenario will hopefully prompt you next time when you are in a similar situation to thoroughly assess the factors that can contribute to LDV scenarios even if the rough threshold of a million records is not met. In addition to that, the considerations for LDVs are not only important for LDV scenarios, but some of the discussion is relevant to general data migration and integration as well. I know that the Preventing LDV scenarios section has a provocative title, but the thought behind it is that there are ways to prevent an LDV scenario, again acknowledging the fact that it may not be possible when you have 5 million Account...

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