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Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform
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.
This book will help
Develop a plan to execute a CDP project effectively and efficientlyConnect Data Cloud to external data sources and build out a Customer 360 Data ModelLeverage data sharing capabilities with Snowflake, BigQuery, Databricks, and AzureUse Salesforce Data Cloud capabilities for identity resolution and segmentationCreate calculated, streaming, visualization, and predictive insightsUse Data Graphs to power Salesforce Einstein capabilitiesLearn Data Cloud best practices for all phases of the development lifecycle
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
Develop a plan to execute a CDP project effectively and efficientlyConnect Data Cloud to external data sources and build out a Customer 360 Data ModelLeverage data sharing capabilities with Snowflake, BigQuery, Databricks, and AzureUse Salesforce Data Cloud capabilities for identity resolution and segmentationCreate calculated, streaming, visualization, and predictive insightsUse Data Graphs to power Salesforce Einstein capabilitiesLearn Data Cloud best practices for all phases of the development lifecycle
731 pages, Kindle Edition
Published August 9, 2024
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