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

Data archiving strategies

Just as we have data on Salesforce for our users, there are situations where data needs to be archived off the platform. This may be due to various reasons, such as regulatory compliance (where certain data needs to be retained), or to keep the optimum amount of data in the platform (such as only the data that is being used being kept on the platform, and automatically archiving data over a certain age). Luckily, various options are available for archiving Salesforce data, such as using on-platform solutions such as big objects or storing data off-platform in an external system or data warehouse. We’ll take a look at these options in the following subsections.

Big objects

As covered in Chapter 2, Data Modeling and Database Design, big objects are used to store and manage huge amounts of data (up to 1 million records by default, though this can be scaled up at an additional cost to tens of millions or even billions of records).

Big objects provide...