Salesforce Data Architecture and Management (eBook)
376 Seiten
Packt Publishing (Verlag)
978-1-80107-690-6 (ISBN)
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.
Learn everything you need to become a successful data architect on the Salesforce platformKey FeaturesAdopt best practices relating to data governance and learn how to implement themLearn how to work with data in Salesforce while maintaining scalability and security of an instanceGain insights into managing large data volumes in SalesforceBook DescriptionAs 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.What you will learnUnderstand the Salesforce data architectureExplore various data backup and archival strategiesUnderstand how the Salesforce platform is designed and how it is different from other relational databasesUncover tools that can help in data management that minimize data trust issues in your Salesforce orgFocus on the Salesforce Customer 360 platform, its key components, and how it can help organizations in connecting with customersDiscover how Salesforce can be used for GDPR complianceMeasure and monitor the performance of your Salesforce orgWho this book is forThis book is for aspiring architects, Salesforce admins, and developers. You will also find the book useful if you're preparing for the Salesforce Data Architecture and Management exam. A basic understanding of Salesforce is assumed.
| Erscheint lt. Verlag | 30.7.2021 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| ISBN-10 | 1-80107-690-1 / 1801076901 |
| ISBN-13 | 978-1-80107-690-6 / 9781801076906 |
| Haben Sie eine Frage zum Produkt? |
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