August 2024
Intermediate to advanced
450 pages
12h 13m
English
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
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