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

Avila, Joyce Kay

  • 出版商: O'Reilly|英文2書85折
  • 出版日期: 2024-09-17
  • 定價: $2,430
  • 售價: 9.5$2,309
  • 貴賓價: 9.0$2,187
  • 語言: 英文
  • 頁數: 448
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098147863
  • ISBN-13: 9781098147860
  • 立即出貨 (庫存=1)

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商品描述

Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud. 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 with the Data Cloud.

Author Joyce Kay Avila demonstrates how to use Salesforce's native connectors, canonical data model, and built-in trust layer to accelerate your time to value. You'll learn how to leverage Salesforce's no-code / low-code functionality to expertly build a Data Cloud foundation that allows you to utilize AI to its fullest, not only within the Salesforce platform but also with third-party machine learning services like AWS SageMaker and Google Vertex.

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

商品描述(中文翻譯)

學習如何通過 Salesforce Data Cloud 實施和管理現代客戶數據平台 (CDP)。這本實用的書籍提供了全面的概述,向架構師、管理員、開發人員、數據工程師和行銷人員展示如何使用 Data Cloud 來攝取、儲存和管理實時客戶數據。

作者 Joyce Kay Avila 演示了如何使用 Salesforce 的原生連接器、標準數據模型和內建的信任層來加速您的價值實現時間。您將學會如何利用 Salesforce 的無代碼/低代碼功能,專業地建立一個 Data Cloud 基礎,讓您能夠充分利用 AI,不僅在 Salesforce 平台內部,還包括 AWS SageMaker 和 Google Vertex 等第三方機器學習服務。

這本書將幫助您:
- 制定計劃,以有效且高效地執行 CDP 項目
- 將 Data Cloud 連接到外部數據來源,並建立客戶 360 數據模型
- 利用與 Snowflake、BigQuery、Databricks 和 Azure 的數據共享能力
- 使用 Salesforce Data Cloud 的身份解析和分段功能
- 創建計算、流式、可視化和預測洞察
- 使用數據圖來驅動 Salesforce Einstein 功能
- 學習 Data Cloud 在開發生命周期各階段的最佳實踐