Salesforce data architecture and management :: a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively /
Learn everything you need to become a successful data architect on the Salesforce platform. 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 trac...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing, Limited,
2021.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Learn everything you need to become a successful data architect on the Salesforce platform. 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.This 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. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource |
| ISBN: | 9781801076906 1801076901 |
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| 520 | |a Learn everything you need to become a successful data architect on the Salesforce platform. 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.This 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. | ||
| 505 | 0 | |a Cover -- Title Page -- Copyright and Credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Section 1: Data Architecture and Data Management Essentials -- Chapter 1: Data Architect Roles and Responsibilities -- Defining architecture -- Exploring architecture roles -- Business architect -- Data architect -- Solution architect -- Domain architects -- Why is data architecture important? -- The benefits of data architecture -- Data architect responsibilities -- Data architect skills -- Technical skills -- Soft skills -- Becoming a data architect | |
| 505 | 8 | |a A day in the life of a data architect -- Summary -- Questions -- Further reading -- Chapter 2: Understanding Salesforce Objects and Data Modeling -- Exploring data modeling -- What is a data model? -- Normalization -- Denormalization -- Design principles for data modeling -- Reviewing object relationships -- Differences between SQL and SOQL -- Understanding Salesforce architecture -- Multi-tenancy -- Metadata-driven architecture -- New releases -- Introducing Salesforce objects -- Standard objects -- Custom objects -- Big objects -- External objects -- Fields in Salesforce -- Summary -- Questions | |
| 505 | 8 | |a Further reading -- Chapter 3: Understanding Data Management -- What is data? -- Is data valuable? -- Introducing data management -- Benefits of data management -- Challenges of data management -- Introducing the data life cycle -- Data creation -- Storage -- Usage -- Archival -- Purge -- Data life cycle -- A Salesforce example -- Data management operating models -- Centralized operating model -- Decentralized operating model -- Hybrid operating model -- Learning data management best practices -- Understanding data and metadata -- Introducing data backup and recovery -- Reasons to back up data | |
| 505 | 8 | |a Devising a strategy for data backup -- Costs -- Security -- Service levels -- Ease of use -- Solution comprehensiveness -- Performance -- Types of backup -- Restoring data -- Missing data -- Sandbox seeding -- Citizen development -- Nuances of the restore process -- Backup and recovery -- tools of the trade -- Data Export Service -- Data Loader -- Odaseva -- OwnBackup -- Summary -- Questions -- Section 2: Salesforce Data Governance and Master Data Management -- Chapter 4: Making Sense of Master Data Management -- Understanding master data -- What is master data? | |
| 505 | 8 | |a The need for master data management -- Categories of data -- Solving problems via master data management -- Deciding what data is master data -- Multi-org scenario -- Defining Master Data Management (MDM) -- Reviewing the basics of data quality -- Implementing MDM -- Considerations for selecting an MDM solution -- The Golden Record -- Why is the Golden Record important? -- Detractors of the Golden Record -- MDM and CRM strategy -- Customer 360 -- Common Information Model (CIM) -- Summary -- Questions -- Chapter 5: Implementing Data Governance -- Enterprise data governance | |
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| contents | Cover -- Title Page -- Copyright and Credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Section 1: Data Architecture and Data Management Essentials -- Chapter 1: Data Architect Roles and Responsibilities -- Defining architecture -- Exploring architecture roles -- Business architect -- Data architect -- Solution architect -- Domain architects -- Why is data architecture important? -- The benefits of data architecture -- Data architect responsibilities -- Data architect skills -- Technical skills -- Soft skills -- Becoming a data architect A day in the life of a data architect -- Summary -- Questions -- Further reading -- Chapter 2: Understanding Salesforce Objects and Data Modeling -- Exploring data modeling -- What is a data model? -- Normalization -- Denormalization -- Design principles for data modeling -- Reviewing object relationships -- Differences between SQL and SOQL -- Understanding Salesforce architecture -- Multi-tenancy -- Metadata-driven architecture -- New releases -- Introducing Salesforce objects -- Standard objects -- Custom objects -- Big objects -- External objects -- Fields in Salesforce -- Summary -- Questions Further reading -- Chapter 3: Understanding Data Management -- What is data? -- Is data valuable? -- Introducing data management -- Benefits of data management -- Challenges of data management -- Introducing the data life cycle -- Data creation -- Storage -- Usage -- Archival -- Purge -- Data life cycle -- A Salesforce example -- Data management operating models -- Centralized operating model -- Decentralized operating model -- Hybrid operating model -- Learning data management best practices -- Understanding data and metadata -- Introducing data backup and recovery -- Reasons to back up data Devising a strategy for data backup -- Costs -- Security -- Service levels -- Ease of use -- Solution comprehensiveness -- Performance -- Types of backup -- Restoring data -- Missing data -- Sandbox seeding -- Citizen development -- Nuances of the restore process -- Backup and recovery -- tools of the trade -- Data Export Service -- Data Loader -- Odaseva -- OwnBackup -- Summary -- Questions -- Section 2: Salesforce Data Governance and Master Data Management -- Chapter 4: Making Sense of Master Data Management -- Understanding master data -- What is master data? The need for master data management -- Categories of data -- Solving problems via master data management -- Deciding what data is master data -- Multi-org scenario -- Defining Master Data Management (MDM) -- Reviewing the basics of data quality -- Implementing MDM -- Considerations for selecting an MDM solution -- The Golden Record -- Why is the Golden Record important? -- Detractors of the Golden Record -- MDM and CRM strategy -- Customer 360 -- Common Information Model (CIM) -- Summary -- Questions -- Chapter 5: Implementing Data Governance -- Enterprise data governance |
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| spelling | Zafar, Ahsan, author. Salesforce data architecture and management : a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / Ahsan Zafar. Birmingham, UK : Packt Publishing, Limited, 2021. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes index. Learn everything you need to become a successful data architect on the Salesforce platform. 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.This 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. Cover -- Title Page -- Copyright and Credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Section 1: Data Architecture and Data Management Essentials -- Chapter 1: Data Architect Roles and Responsibilities -- Defining architecture -- Exploring architecture roles -- Business architect -- Data architect -- Solution architect -- Domain architects -- Why is data architecture important? -- The benefits of data architecture -- Data architect responsibilities -- Data architect skills -- Technical skills -- Soft skills -- Becoming a data architect A day in the life of a data architect -- Summary -- Questions -- Further reading -- Chapter 2: Understanding Salesforce Objects and Data Modeling -- Exploring data modeling -- What is a data model? -- Normalization -- Denormalization -- Design principles for data modeling -- Reviewing object relationships -- Differences between SQL and SOQL -- Understanding Salesforce architecture -- Multi-tenancy -- Metadata-driven architecture -- New releases -- Introducing Salesforce objects -- Standard objects -- Custom objects -- Big objects -- External objects -- Fields in Salesforce -- Summary -- Questions Further reading -- Chapter 3: Understanding Data Management -- What is data? -- Is data valuable? -- Introducing data management -- Benefits of data management -- Challenges of data management -- Introducing the data life cycle -- Data creation -- Storage -- Usage -- Archival -- Purge -- Data life cycle -- A Salesforce example -- Data management operating models -- Centralized operating model -- Decentralized operating model -- Hybrid operating model -- Learning data management best practices -- Understanding data and metadata -- Introducing data backup and recovery -- Reasons to back up data Devising a strategy for data backup -- Costs -- Security -- Service levels -- Ease of use -- Solution comprehensiveness -- Performance -- Types of backup -- Restoring data -- Missing data -- Sandbox seeding -- Citizen development -- Nuances of the restore process -- Backup and recovery -- tools of the trade -- Data Export Service -- Data Loader -- Odaseva -- OwnBackup -- Summary -- Questions -- Section 2: Salesforce Data Governance and Master Data Management -- Chapter 4: Making Sense of Master Data Management -- Understanding master data -- What is master data? The need for master data management -- Categories of data -- Solving problems via master data management -- Deciding what data is master data -- Multi-org scenario -- Defining Master Data Management (MDM) -- Reviewing the basics of data quality -- Implementing MDM -- Considerations for selecting an MDM solution -- The Golden Record -- Why is the Golden Record important? -- Detractors of the Golden Record -- MDM and CRM strategy -- Customer 360 -- Common Information Model (CIM) -- Summary -- Questions -- Chapter 5: Implementing Data Governance -- Enterprise data governance Data structures (Computer science) http://id.loc.gov/authorities/subjects/sh85035862 Database management. http://id.loc.gov/authorities/subjects/sh85035848 Salesforce (Online service) http://id.loc.gov/authorities/subjects/sh2007004093 Structures de données (Informatique) Bases de données Gestion. Salesforce (Serveur) Data structures (Computer science) fast Database management fast Salesforce (Online service) fast has work: Salesforce Data Architecture and Management (Text) https://id.oclc.org/worldcat/entity/E39PCXMDHdFTWBCq7Fjf8VhTBK https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2961992 Volltext |
| spellingShingle | Zafar, Ahsan Salesforce data architecture and management : a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / Cover -- Title Page -- Copyright and Credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Section 1: Data Architecture and Data Management Essentials -- Chapter 1: Data Architect Roles and Responsibilities -- Defining architecture -- Exploring architecture roles -- Business architect -- Data architect -- Solution architect -- Domain architects -- Why is data architecture important? -- The benefits of data architecture -- Data architect responsibilities -- Data architect skills -- Technical skills -- Soft skills -- Becoming a data architect A day in the life of a data architect -- Summary -- Questions -- Further reading -- Chapter 2: Understanding Salesforce Objects and Data Modeling -- Exploring data modeling -- What is a data model? -- Normalization -- Denormalization -- Design principles for data modeling -- Reviewing object relationships -- Differences between SQL and SOQL -- Understanding Salesforce architecture -- Multi-tenancy -- Metadata-driven architecture -- New releases -- Introducing Salesforce objects -- Standard objects -- Custom objects -- Big objects -- External objects -- Fields in Salesforce -- Summary -- Questions Further reading -- Chapter 3: Understanding Data Management -- What is data? -- Is data valuable? -- Introducing data management -- Benefits of data management -- Challenges of data management -- Introducing the data life cycle -- Data creation -- Storage -- Usage -- Archival -- Purge -- Data life cycle -- A Salesforce example -- Data management operating models -- Centralized operating model -- Decentralized operating model -- Hybrid operating model -- Learning data management best practices -- Understanding data and metadata -- Introducing data backup and recovery -- Reasons to back up data Devising a strategy for data backup -- Costs -- Security -- Service levels -- Ease of use -- Solution comprehensiveness -- Performance -- Types of backup -- Restoring data -- Missing data -- Sandbox seeding -- Citizen development -- Nuances of the restore process -- Backup and recovery -- tools of the trade -- Data Export Service -- Data Loader -- Odaseva -- OwnBackup -- Summary -- Questions -- Section 2: Salesforce Data Governance and Master Data Management -- Chapter 4: Making Sense of Master Data Management -- Understanding master data -- What is master data? The need for master data management -- Categories of data -- Solving problems via master data management -- Deciding what data is master data -- Multi-org scenario -- Defining Master Data Management (MDM) -- Reviewing the basics of data quality -- Implementing MDM -- Considerations for selecting an MDM solution -- The Golden Record -- Why is the Golden Record important? -- Detractors of the Golden Record -- MDM and CRM strategy -- Customer 360 -- Common Information Model (CIM) -- Summary -- Questions -- Chapter 5: Implementing Data Governance -- Enterprise data governance Data structures (Computer science) http://id.loc.gov/authorities/subjects/sh85035862 Database management. http://id.loc.gov/authorities/subjects/sh85035848 Salesforce (Online service) http://id.loc.gov/authorities/subjects/sh2007004093 Structures de données (Informatique) Bases de données Gestion. Salesforce (Serveur) Data structures (Computer science) fast Database management fast Salesforce (Online service) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85035862 http://id.loc.gov/authorities/subjects/sh85035848 http://id.loc.gov/authorities/subjects/sh2007004093 |
| title | Salesforce data architecture and management : a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / |
| title_auth | Salesforce data architecture and management : a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / |
| title_exact_search | Salesforce data architecture and management : a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / |
| title_full | Salesforce data architecture and management : a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / Ahsan Zafar. |
| title_fullStr | Salesforce data architecture and management : a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / Ahsan Zafar. |
| title_full_unstemmed | Salesforce data architecture and management : a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / Ahsan Zafar. |
| title_short | Salesforce data architecture and management : |
| title_sort | salesforce data architecture and management a pragmatic guide for aspiring salesforce architects and developers to manage govern and secure their data effectively |
| title_sub | a pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively / |
| topic | Data structures (Computer science) http://id.loc.gov/authorities/subjects/sh85035862 Database management. http://id.loc.gov/authorities/subjects/sh85035848 Salesforce (Online service) http://id.loc.gov/authorities/subjects/sh2007004093 Structures de données (Informatique) Bases de données Gestion. Salesforce (Serveur) Data structures (Computer science) fast Database management fast Salesforce (Online service) fast |
| topic_facet | Data structures (Computer science) Database management. Salesforce (Online service) Structures de données (Informatique) Bases de données Gestion. Salesforce (Serveur) Database management |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2961992 |
| work_keys_str_mv | AT zafarahsan salesforcedataarchitectureandmanagementapragmaticguideforaspiringsalesforcearchitectsanddeveloperstomanagegovernandsecuretheirdataeffectively |