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

by: Joyce Kay Avila (Author)

Publisher: O’Reilly Media

Edition: 1st

Publication Date: 2024/9/17

Language: English

Print Length: 448 pages

ISBN-10: 1098147863

ISBN-13: 9781098147860

Book Description

Lea how to implement and manage a mode 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 lea 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 leaing 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 exteal 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 Lea Data Cloud best practices for all phases of the development lifecycle

About the Author

Lea how to implement and manage a mode 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 lea 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 leaing 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 exteal 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 Lea Data Cloud best practices for all phases of the development lifecycle