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Hands-On Salesforce Data Cloud - by  Joyce Kay Avila (Paperback) - 1 of 1

Hands-On Salesforce Data Cloud - by Joyce Kay Avila (Paperback)

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About this item

Highlights

  • Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud platform.
  • Author(s): Joyce Kay Avila
  • 448 Pages
  • Computers + Internet, Databases

Description



About the Book



"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. 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."--



Book Synopsis



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
Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .91 Inches (D)
Weight: 1.57 Pounds
Suggested Age: 22 Years and Up
Sub-Genre: Databases
Genre: Computers + Internet
Number of Pages: 448
Publisher: O'Reilly Media
Theme: Data Mining
Format: Paperback
Author: Joyce Kay Avila
Language: English
Street Date: September 17, 2024
TCIN: 91999359
UPC: 9781098147860
Item Number (DPCI): 247-01-3574
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.91 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.57 pounds
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Q: What is the main focus of this book?

submitted by AI Shopping Assistant - 25 days ago
  • A: The book focuses on implementing and managing a modern customer data platform using Salesforce Data Cloud.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

Q: Are third-party machine learning platforms mentioned?

submitted by AI Shopping Assistant - 25 days ago
  • A: Yes, it mentions using platforms like Amazon SageMaker and Google Vertex AI for predictive modeling.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

Q: Who would benefit from this book?

submitted by AI Shopping Assistant - 25 days ago
  • A: Architects, administrators, developers, data engineers, and marketers can all benefit from the insights this book provides.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

Q: What methodologies does the book emphasize?

submitted by AI Shopping Assistant - 25 days ago
  • A: It emphasizes low-code/no-code methodologies for building a robust Data Cloud foundation.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

Q: Does the book cover data sharing capabilities?

submitted by AI Shopping Assistant - 25 days ago
  • A: Yes, it discusses data sharing capabilities with platforms like Snowflake, BigQuery, and Databricks.

    submitted byAI Shopping Assistant - 25 days ago
    Ai generated

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