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:

• Develop a plan to execute a CDP project effectively and efficiently
• Connect Data Cloud to external data sources and build out a Customer 360 Data Model
• Leverage data sharing capabilities with Snowflake, BigQuery, Databricks, and Azure
• Use Salesforce Data Cloud capabilities for identity resolution and segmentation
• Create calculated, streaming, visualization, and predictive insights
• Use Data Graphs to power Salesforce Einstein capabilities
• Learn Data Cloud best practices for all phases of the development lifecycle