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Salesforce Data Architecture and Management

Salesforce Data Architecture and Management

By : Zafar
4.7 (16)
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Salesforce Data Architecture and Management

Salesforce Data Architecture and Management

4.7 (16)
By: Zafar

Overview of this book

As Salesforce orgs mature over time, data management and integrations are becoming more challenging than ever. Salesforce Data Architecture and Management follows a hands-on approach to managing data and tracking the performance of your Salesforce org. You’ll start by understanding the role and skills required to become a successful data architect. The book focuses on data modeling concepts, how to apply them in Salesforce, and how they relate to objects and fields in Salesforce. You’ll learn the intricacies of managing data in Salesforce, starting from understanding why Salesforce has chosen to optimize for read rather than write operations. After developing a solid foundation, you’ll explore examples and best practices for managing your data. You’ll understand how to manage your master data and discover what the Golden Record is and why it is important for organizations. Next, you'll learn how to align your MDM and CRM strategy with a discussion on Salesforce’s Customer 360 and its key components. You’ll also cover data governance, its multiple facets, and how GDPR compliance can be achieved with Salesforce. Finally, you'll discover Large Data Volumes (LDVs) and best practices for migrating data using APIs. By the end of this book, you’ll be well-versed with data management, data backup, storage, and archiving in Salesforce.
Table of Contents (14 chapters)
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1
Section 1: Data Architecture and Data Management Essentials
5
Section 2: Salesforce Data Governance and Master Data Management
9
Section 3: Large Data Volumes (LDVs) and Data Migrations

Improving performance

We have looked at a variety of tools that can be used to diagnose and monitor performance-related issues. The next obvious step is to fix these performance bottlenecks depending on where the issue is. The technique or the tool to rectify the problem will also be different. For example, if there are multiple triggers per object, page performance could get impacted, and to fix this, you will need to refactor the code to use a single trigger per object. Another example that we will review later as well involves using multiple Process Builder flows on a single object – fixing that would require determining the tool that will provide optimal performance.

Let’s look at some of the actions we can take to improve performance once we have identified the issue. This should not be taken as an exhaustive list, but rather as pointers that can help you quickly improve the performance of your application. For example, multiple actions can be taken to improve...

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