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Developing Data Migrations and Integrations with Salesforce: Patterns and Best Practices
Developing Data Migrations and Integrations with Salesforce covers everything you need to know to migrate your data to Salesforce the right way, and how to design low-maintenance, high-performing data integrations with Salesforce.
Developing Data Migrations and Integrations with Salesforce: Patterns and Best Practices
Item #: 19740002

Developing Data Migrations and Integrations with Salesforce: Patterns and Best Practices

Item #: 19740002

LAK 693581

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Developing Data Migrations and Integrations with Salesforce covers everything you need to know to migrate your data to Salesforce the right way, and how to design low-maintenance, high-performing data integrations with Salesforce.
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What Stands Out

Comprehensive Guidance
Offers detailed patterns and best practices for data migrations and integrations, catering to both beginners and experienced Salesforce users looking to optimize their processes.
Real-World Examples
Includes practical case studies and real-world scenarios that demonstrate effective implementation of data strategies, enhancing understanding and application of concepts.
Expert Insights
Provides expert advice from industry professionals, ensuring users gain valuable knowledge on common challenges and innovative solutions in the Salesforce ecosystem.

Product Details

Migrate your data to Salesforce and design low-maintenance, high-performing data integrations with Salesforce. Get the most out of Salesforce with our comprehensive guide. Shop at Ubuy Laos
  • Learn how to migrate legacy data to Salesforce and design low-maintenance, high-performing data integrations with Salesforce.
  • Understand Salesforce’s data engine architecture and utilize the Salesforce Data APIs for data loading and extraction.
  • Plan and execute data migration to Salesforce, and comprehend common data integration patterns with their pros and cons.
  • Discover real-time integration options for Salesforce and be aware of common pitfalls in data migrations and integrations.
  • Build reusable transformation code for commonly needed Salesforce transformation patterns.
  • This book is ideal for those involved in migrating data to Salesforce or establishing ongoing data integrations, project sponsors, aspiring Salesforce integration specialists, and developers looking to expand their skills.
Publisher Apress
Publication date December 19, 2018
Edition First Edition
Language English
Print length 370 pages
ISBN-10 1484242084
ISBN-13 978-1484242087
Item Weight 1.4 pounds (640 grams)
Dimensions 7.01 x 0.84 x 10 inches (17.8 x 2.1 x 25.4 cm)

Who Should Buy?

Suitable For
  • Salesforce Developers

    Ideal for developers looking to enhance their skills in data migrations and integrations within the Salesforce ecosystem.

  • Data Analysts

    Useful for analysts wanting to understand best practices for data handling and integration processes in Salesforce applications.

  • IT Managers

    Great for IT managers overseeing data projects and requiring a comprehensive guide on integration strategies with Salesforce.

Not Suitable For
  • Beginners

    Not suitable for individuals new to Salesforce or data migrations, as it requires a foundational understanding of the platform.

Product Description

Developing Data Migrations and Integrations with Salesforce: Patterns and Best Practices

About This Item

Introducing "Developing Data Migrations and Integrations with Salesforce: Patterns and Best Practices 1st ed. Edition" Looking to migrate your data to Salesforce and optimize your data integrations? Look no further! "Developing Data Migrations and Integrations with Salesforce" is the perfect guide to help you make the most out of Salesforce and effectively manage your organization's customer information. When your company chooses to implement Salesforce, it becomes the go-to place for all your customer-related data. It is essential to have a smooth transition and ensure that all the necessary data, including accounts, contacts, and historical information, is seamlessly integrated into the system.

This book provides you with the insights and expertise needed to achieve this goal. Written by a Salesforce integration architect with extensive experience in the field, this book offers valuable lessons learned from numerous Salesforce projects. You'll gain a deep understanding of Salesforce's data engine and how to leverage its capabilities. Discover how to use Salesforce Data APIs to load and extract data efficiently.

Learn how to plan and execute your data migration successfully, taking into account the complexities of the Salesforce platform. "Developing Data Migrations and Integrations with Salesforce" also covers the design of low-maintenance and high-performing data integrations with Salesforce. Explore common data integration patterns, and understand the pros and cons of each approach. The book provides real-time integration options and helps you avoid common pitfalls.

You'll also find reusable transformation code examples that cover commonly needed Salesforce transformation patterns. The author, David Masri, is a seasoned professional with over 20 years of experience in building integrated ERP, BI, e-commerce, and CRM systems. As the Director of Professional Services at Plative, a Salesforce Silver Partner, David brings a wealth of knowledge to the table. He holds multiple professional certifications, including nine Salesforce certifications and Google's Data Engineer certification. Whether you are a Salesforce integration specialist or a business owner looking to optimize your data management, this book is an invaluable resource.

Gain the expertise needed to migrate your data to Salesforce smoothly and design robust data integrations tailored to your organization's needs. Don't miss out on the opportunity to enhance your Salesforce implementation. Get your copy of "Developing Data Migrations and Integrations with Salesforce" today and unlock the full potential of your customer data.

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Data Processing Editorial Review

**** "Developing Data Migrations and Integrations with Salesforce: Patterns and Best Practices" presents itself as an invaluable resource for anyone looking to navigate the complexities of migrating data and establishing integrations within the Salesforce ecosystem. The book is praised for its practical approach, offering readers immediate, actionable insights that would otherwise take years to accumulate through trial and error in the industry. It balances simplicity and complexity effectively, serving as both an introductory guide for newcomers and a reference for seasoned professionals. Readers laud the engaging writing style, with particular emphasis on the real-world examples and practical 'gotchas' that help illuminate the migration process. The inclusion of code samples and an FAQ section at the end of the book enhances its utility, acting as the "icing on the cake" that solidifies the reader's understanding. However, some readers express disappointment regarding the lack of a comprehensive example to tie the book's concepts together. Specifically, Chapter 7, while promising to demonstrate a practical application through sample code, falls short due to the absence of the necessary database context. This absence may hinder those seeking a more hands-on understanding of data migration. Furthermore, accessing the author for clarifications requires a premium LinkedIn account, creating an unnecessary barrier for communication. Despite these limitations, the overarching sentiment towards the book is positive, especially from experienced professionals who find it to be the most comprehensive guide on the subject available. As a quick reference and detailed resource, it has quickly established itself as a must-read in the CRM space. **

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Pros

  • Immediate, actionable insights for data migrations and integrations
  • Engaging writing style with practical real-world examples
  • Effective mix of simplicity and complexity for varied audiences
  • Valuable code samples and FAQ section for reference
  • Comprehensive resource even for seasoned professionals

Cons

  • Lack of a comprehensive, practical example linked to actual database context

Product Price History

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