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 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
1145508199
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 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
59.99 In Stock
Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform

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

by Joyce Kay Avila
Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform

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

by Joyce Kay Avila

eBook

$59.99 

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Overview

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 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

Product Details

ISBN-13: 9781098147822
Publisher: O'Reilly Media, Incorporated
Publication date: 08/09/2024
Sold by: Barnes & Noble
Format: eBook
Pages: 450
File size: 25 MB
Note: This product may take a few minutes to download.

About the Author

Joyce Kay Avila has more than 25 years as a business and technology leader. She has bachelor's and master's degrees in the fields of computer science and accounting business administration, and completed her PhD coursework in accounting information systems.

Joyce holds 19 Salesforce certifications and accreditations, and is Tableau certified. She is a Salesforce All Star Ranger and a Salesforce Einstein Champion alumni. She is also certified in Snowflake and is a Snowflake Data Superhero.

For the Salesforce and Snowflake communities, Joyce produces a running series of how-to-videos on her YouTube channel. She is also the author of the O'Reilly book, Snowflake: The Definitive Guide.

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