Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform
暫譯: 實作 Salesforce Data Cloud：實現與管理即時客戶資料平台
Avila, Joyce Kay
- 出版商: O'Reilly
- 出版日期: 2024-09-17
- 定價: $2,460
- 售價: 9.0 折 $2,214
- 語言: 英文
- 頁數: 448
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1098147863
- ISBN-13: 9781098147860
-
相關分類:
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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、數據工程師和市場營銷人員展示如何使用 Data Cloud 來攝取、存儲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，專業地構建一個 Data Cloud 基礎，讓您能夠充分利用 AI，不僅在 Salesforce 平台內部，還可以與第三方機器學習服務如 AWS SageMaker 和 Google Vertex 一起使用。
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 連接到外部數據源，並構建客戶 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 的功能進行身份解析和細分
- 創建計算、流式、可視化和預測洞察
- 使用數據圖來驅動 Salesforce Einstein 的能力
- 學習 Data Cloud 在開發生命周期各階段的最佳實踐
