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Podcasts
There’s a huge demand on the market for Salesforce professionals who can create a single view of the customer across the Salesforce Customer 360 platform and leverage data into actionable insights. With Salesforce B2C Solution Architect's Handbook, you’ll gain a deeper understanding of the integration options and products that help you deliver value for organizations. While this book will help you prepare for the B2C Solution Architect exam, its true value lies in setting you up for success afterwards.The first few chapters will help you develop a solid understanding of the capabilities of each component in the Customer 360 ecosystem, their data models, and governance.As you progress, you'll explore the role of a B2C solution architect in planning critical requirements and implementation sequences to avoid costly reworks and unnecessary delays. You’ll learn about the available options for integrating products with the Salesforce ecosystem and demonstrate best practices for data modeling across Salesforce products and beyond.Once you’ve mastered the core knowledge, you'll also learn about tools, techniques, and certification scenarios in preparation for the B2C Solution Architect exam.By the end of this book, you’ll have the skills to design scalable, secure, and future-proof solutions supporting critical business demands.
DevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey.The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you’ll explore the core elements of cloud integration—AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery—GitHub actions, Jenkins, and Argo CD—to help you understand the essence of modern app delivery. Later, you’ll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you’ll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more.By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.
Experienced developers understand the importance of designing a comprehensive testing strategy to ensure efficient shipping and maintaining services in production. This book shows you how to utilize test-driven development (TDD), a widely adopted industry practice, for testing your Go apps at different levels. You’ll also explore challenges faced in testing concurrent code, and learn how to leverage generics and write fuzz tests.The book begins by teaching you how to use TDD to tackle various problems, from simple mathematical functions to web apps. You’ll then learn how to structure and run your unit tests using Go’s standard testing library, and explore two popular testing frameworks, Testify and Ginkgo. You’ll also implement test suites using table-driven testing, a popular Go technique. As you advance, you’ll write and run behavior-driven development (BDD) tests using Ginkgo and Godog. Finally, you’ll explore the tricky aspects of implementing and testing TDD in production, such as refactoring your code and testing microservices architecture with contract testing implemented with Pact. All these techniques will be demonstrated using an example REST API, as well as smaller bespoke code examples.By the end of this book, you’ll have learned how to design and implement a comprehensive testing strategy for your Go applications and microservices architecture.
IT Audit Field Manual. Strengthen your cyber defense through proactive IT auditing
As cyber threats evolve and regulations tighten, IT professionals struggle to maintain effective auditing practices and ensure robust cybersecurity across complex systems. Drawing from over a decade of submarine military service and extensive cybersecurity experience, Lewis offers a unique blend of technical expertise and field-tested insights in this comprehensive field manual.Serving as a roadmap for beginners as well as experienced professionals, this manual guides you from foundational concepts and audit planning to in-depth explorations of auditing various IT systems and networks, including Cisco devices, next-generation firewalls, cloud environments, endpoint security, and Linux systems. You’ll develop practical skills in assessing security configurations, conducting risk assessments, and ensuring compliance with privacy regulations. This book also covers data protection, reporting, remediation, advanced auditing techniques, and emerging trends.Complete with insightful guidance on building a successful career in IT auditing, by the end of this book, you’ll be equipped with the tools to navigate the complex landscape of cybersecurity and compliance, bridging the gap between technical expertise and practical application.
Learning Swift. Click here to enter text. - Second Edition
Swift is Apple’s new programming language and the future of iOS and OS X app development. It is a high-performance language that feels like a modern scripting language. On the surface, Swift is easy to jump into, but it has complex underpinnings that are critical to becoming proficient at turning an idea into reality.This book is an approachable, step-by-step introduction into programming with Swift for everyone. It begins by giving you an overview of the key features through practical examples and progresses to more advanced topics that help differentiate the proficient developers from the mediocre ones. It covers important concepts such as Variables, Optionals, Closures, Generics, and Memory Management. Mixed in with those concepts, it also helps you learn the art of programming such as maintainability, useful design patterns, and resources to further your knowledge. This all culminates in writing a basic iOS app that will get you well on your way to turning your own app ideas into reality.
Marije Brummel, Natalie Karolak, Christopher D. Studebaker, David Studebaker
Business Central opens a world of endless possibilities for custom business logic and functionality through extensions and customizations. For beginners in the AL language, navigating the vast landscape can feel overwhelming. It’s challenging to know where to start and what’s essential to learn. This updated edition offers a concise and well-organized guide, featuring hands-on exercises to support a successful learning journey.You’ll get to grips with the basics of Business Central and how to create your first Visual Studio Code project with the AL language. As you learn about the table data structure, simple and complex data types, relationships, validation, and data flow, you’ll be able to add and extend tables to your project. Progressively, you'll uncover the intricacies of user interfaces with pages, create advanced Excel report layouts, and harness the power of data queries. Immersing yourself in the AL language syntax, you’ll start with variables, methods, procedures, and statements. You'll explore advanced topics to create business logic such as FlowFields, filtering, CRUD methods, interactions between object types, and different API interfaces that can be created using the AL language.By the end of this book, you’ll be equipped to build fully featured, robust extensions and custom capabilities for Business Central.
Efficient business decisions with an accurate sense of business data helps in delivering better performance across products and services. This book helps you to leverage the popular Scala libraries and tools for performing core data analysis tasks with ease.The book begins with a quick overview of the building blocks of a standard data analysis process. You will learn to perform basic tasks like Extraction, Staging, Validation, Cleaning, and Shaping of datasets. You will later deep dive into the data exploration and visualization areas of the data analysis life cycle. You will make use of popular Scala libraries like Saddle, Breeze, Vegas, and PredictionIO for processing your datasets. You will learn statistical methods for deriving meaningful insights from data. You will also learn to create applications for Apache Spark 2.x on complex data analysis, in real-time. You will discover traditional machine learning techniques for doing data analysis. Furthermore, you will also be introduced to neural networks and deep learning from a data analysis standpoint.By the end of this book, you will be capable of handling large sets of structured and unstructured data, perform exploratory analysis, and building efficient Scala applications for discovering and delivering insights