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. Salesforce's Data Cloud platform is built from the ground up, with a completely new architecture. First, Salesforce built a data lake house as a way to store large volumes of data and leverage Salesforce's canonical data model for data harmonization. Then the automated identity resolution process made it possible to unify data from disparate sources to achieve a single source of truth. This book is essential reading for technology and data professionals who use customer data to make critical business decisions and for anyone who wants to set themselves apart as a Salesforce professional. Whether you're an experienced Salesforce professional or someone who is just beginning their Salesforce journey, there is plenty of information in this book for you to get started with Salesforce's new customer data platform features.