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