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Hands-On Salesforce Data Cloud : Implementing and Managing a Real-Time Customer Data Platform by Joyce Kay Avila (2024, Trade Paperback)

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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.

Informazioni su questo prodotto

Product Identifiers

PublisherO'reilly Media, Incorporated

ISBN-101098147863

ISBN-139781098147860

eBay Product ID (ePID)7070942250

Product Key Features

Number of Pages448 Pages

LanguageEnglish

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

Publication Year2024

SubjectEnterprise Applications / Business Intelligence Tools, Web / Web Services & APIs, Cloud Computing, Data Processing, Databases / Data Mining

TypeTextbook

AuthorJoyce Kay Avila

Subject AreaComputers

FormatTrade Paperback

Dimensions

Item Height1 in

Item Weight27.3 Oz

Item Length9.1 in

Item Width7.2 in

Additional Product Features

Dewey Edition23

IllustratedYes

Dewey Decimal658.812

SynopsisLearn 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