Klappentext

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