Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Dat...

Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud. 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 with the Data Cloud. Author Joyce Kay Avila demonstrates how to use Salesforce's native connectors, canonical data model, and built-in trust layer to accelerate your time to value. You'll learn how to leverage Salesforce's no-code / low-code functionality to expertly build a Data Cloud foundation that allows you to utilize AI to its fullest, not only within the Salesforce platform but also with third-party machine learning services like AWS SageMaker and Google Vertex.
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