Implementing and Managing a Real-Time Customer Data Platform
Joyce Kay Avila

#Salesforce
#Data
#Cloud
#CDP
Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud platform. This practical book provides a comprehensive overview that shows architects, administrators, developers, data engineers, and marketers how to ingest, store, and manage real-time customer data.
Author Joyce Kay Avila demonstrates how to use Salesforce's native connectors, canonical data model, and Einstein's built-in trust layer to accelerate your time to value. You'll learn how to leverage Salesforce's low-code/no-code functionality to expertly build a Data Cloud foundation that unlocks the power of structured and unstructured data. Use Data Cloud tools to build your own predictive models or leverage third-party machine learning platforms like Amazon SageMaker, Google Vertex AI, and Databricks.
This book will help you:
Table of Contents
Chapter 1. Salesforce Data Cloud Origins
Chapter 2. Foundations of Salesforce Data Cloud
Chapter 3. Business Value Activities
Chapter 4. Ad min Basics and First-Time Provisioning
Chapter 5. Data Cloud Menu Options
Chapter 6. Data Ingestion and Storage
Chapter 7. Data Modeling
Chapter 8. Data Transformations
Chapter 9. Data Mapping
Chapter 10. Identity Resolution
Chapter 11. Consuming and Taking Action with Data Cloud Data
Chapter 12. Segmentation and Activation
Chapter 13. The Einstein 1 Platform and the Zero Copy Partner Network
Appendix A. Guidance for Data Cloud Implementation
Appendix B. Sharing Data Cloud Data Externally with Other Tools and Platforms
Joyce Kay Avila has more than 25 years as a business and technology leader. She has bachelor's and master's degrees in the fields of computer science and accounting business administration, and completed her PhD coursework in accounting information systems.









