Hands On Salesforce Data Cloud
Download Hands On Salesforce Data Cloud PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Hands On Salesforce Data Cloud book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Hands-On Salesforce Data Cloud
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
Hands-On Salesforce Data Cloud
Author: Joyce Kay Avila
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2024-08-09
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
Salesforce Certified Data Cloud Consultant Exam Certification Guide Book
The Salesforce Certified Data Cloud Consultant Exam Certification book offers a comprehensive guide to prepare for the certification exam. It covers all the key concepts and skills needed to become proficient in using Salesforce Data Cloud, which is designed to help businesses manage, analyze, and utilize their customer data in a seamless and secure way. The book breaks down complex topics into digestible chapters, providing both theoretical knowledge and practical application. Key chapters include data modeling, data ingestion and integration, identity resolution, and data transformation. It emphasizes understanding the architecture of Salesforce Data Cloud, including the integration of third-party data sources, as well as batch and real-time data ingestion techniques. The importance of data quality, security, and compliance is also thoroughly covered, with specific attention to best practices in data governance. The book also dives into advanced concepts like AI-driven insights, predictive analytics, and real-time data analysis, which enable businesses to derive actionable insights from their customer data. It includes a section on performance optimization, detailing how to scale Salesforce Data Cloud solutions and troubleshoot potential issues. Throughout, the book provides practical examples, study tips, and exam resources to ensure thorough preparation for the certification exam. With a focus on hands-on experience and real-world applications, this book is an essential resource for those looking to gain expertise in Salesforce Data Cloud and pass the certification exam with confidence.