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Using D3.js and Responsive Design principles, you will not just be able to implement visualizations that look and feel awesome across all devices and screen resolutions, but you will also boost your productivity and reduce development time by making use of Bootstrap—the most popular framework for developing responsive web applications.This book teaches the basics of scalable vector graphics (SVG), D3.js, and Bootstrap while focusing on Responsive Design as well as mobile-first visualizations; the reader will start by discovering Bootstrap and how it can be used for creating responsive applications, and then implement a basic bar chart in D3.js. You will learn about loading, parsing, and filtering data in JavaScript and then dive into creating a responsive visualization by using Media Queries, responsive interactions for Mobile and Desktop devices, and transitions to bring the visualization to life. In the following chapters, we build a fully responsive interactive map to display geographic data using GeoJSON and set up integration testing with Protractor to test the application across real devices using a mobile API gateway such as AWS Device Farm. You will finish the journey by discovering the caveats of mobile-first applications and learn how to master cross-browser complications.
When it comes to using the core and managed services available on AWS for making decisions about architectural environments for an enterprise, there are as many challenges as there are advantages. This Industrial IoT book follows the journey of data from the shop floor to the boardroom, identifying goals and aiding in strong architectural decision-making.You’ll begin from the ground up, analyzing environment needs and understanding what is required from the captured data, applying industry standards and conventions throughout the process. This will help you realize why digital integration is crucial and how to approach an Industrial IoT project from a holistic perspective. As you advance, you’ll delve into the operational technology realm and consider integration patterns with common industrial protocols for data gathering and analysis with direct connectivity to data through sensors or systems. The book will equip you with the essentials for designing industrial IoT architectures while also covering intelligence at the edge and creating a greater awareness of the role of machine learning and artificial intelligence in overcoming architectural challenges.By the end of this book, you’ll be ready to apply IoT directly to the industry while adapting the concepts covered to implement AWS IoT technologies.
UmiJS is the Ant Group's underlying frontend development framework, an open source project for developing enterprise-class frontend applications. In this book, you'll get hands-on with single-page application development using UmiJS. By following practical step-by-step examples, you'll develop essential skills to build and publish your apps and create a modern user experience with responsive interfaces.This book will help you learn the essential features of UmiJS and how to set up and build a project from scratch using React, Less, and TypeScript. You'll study Ant Design, a framework based on solid design concepts that provides a series of React components to accelerate interface development. Along the way, you'll see how to make requests and develop the frontend using simulated data while ensuring that your app has a high level of security and feedback. You'll also discover ways to improve your code quality and readability using formatting tools.By the end of the book, you'll have learned how to use UmiJS to design user interfaces, as well as compile, test, and package your app locally, and deliver your app by deploying it to online services.
Matt Benatan, Jochem Gietema, Marian Schneider
Deep learning is revolutionizing our lives, impacting content recommendations and playing a key role in mission- and safety-critical applications. Yet, typical deep learning methods lack awareness about uncertainty. Bayesian deep learning offers solutions based on approximate Bayesian inference, enhancing the robustness of deep learning systems by indicating how confident they are in their predictions. This book will guide you in incorporating model predictions within your applications with care.Starting with an introduction to the rapidly growing field of uncertainty-aware deep learning, you’ll discover the importance of uncertainty estimation in robust machine learning systems. You’ll then explore a variety of popular Bayesian deep learning methods and understand how to implement them through practical Python examples covering a range of application scenarios.By the end of this book, you’ll embrace the power of Bayesian deep learning and unlock a new level of confidence in your models for safer, more robust deep learning systems.
Angular is an open-source, front-end framework used to build web applications using TypeScript. Angular is a component-based framework, which means you build apps by developing and composing reusable components. This framework has all the built-in features needed to develop complex, feature-rich web apps. Written by an Angular specialist working with some of the top companies in the Netherlands, this book teaches you how to harness the full potential of the Angular framework.You’ll explore different front-end architecture designs and set up a scalable environment for Angular applications and libraries using Nx, before taking a deep dive into the framework's newest and most powerful features. Next, you’ll learn to manipulate the Document Object Model (DOM) with Angular directives, pipes, and animations, and build reusable components like a pro. The book spotlights best practices and flags potential pitfalls at every step of the way. You’ll also learn design patterns that fit well when using the Angular framework, reactive programming with RxJS and Angular signals, and how to manage application states effectively. The book teaches you about accessibility, testing, and optimizing your app for deployment.By the end of this book, you’ll be able to use Angular effectively to build enterprise-ready, scalable front-end applications.
Troubleshooting Citrix XenApp!AE. Click here to enter text
Dragos Madarasan, Suraj Ramchandra
Citrix XenApp® is an application virtualization product from Citrix. It allows users to connect to their corporate applications from various computer systems and even mobile devices. XenApp® has grown into a complex software with ever-expanding infrastructures in place. Together with tight integrations with other systems such as Terminal Services, Active Directory, and other third-party authentication services, troubleshooting XenApp® has become more complicated.This book teaches you how to approach troubleshooting complex issues with XenApp® deployments and understand the problem, find a fix or workaround, determine the root cause, and apply corrective steps wherever applicable. The book progresses to give you an idea about the many supportive components that play an important role in XenApp’s application delivery model and should be considered while troubleshooting XenApp® issues. It also shows you standard troubleshooting processes so that you can resolve complex XenApp® issues in a mission critical environment.By the end of this book, you will see how and where to use supportive components that help minimize XenApp® issues. Also, we’ll explain various tools that can be useful when monitoring and optimizing entire application and desktop delivery model.
Odata (Open Data Protocol) is a Web protocol for querying and updating data that provides a way to unlock your data and free it from silos that exist in applications today. OData enables data access among a variety of applications, services, and stores by adopting existing Web technologies such as HTTP, XML, and JSON. This book deals with common OData programming cases over the Microsoft .NET Framework platform and eases the learning curve for a .NET developer to start incorporating OData in data service development.This book provides a collection of recipes that help .NET developers to get familiar with OData programming in a quick and efficient manner. The recipes cover most OData features from the former ADO.NET Data Service to the current WCF Data Service platform. In addition, all the sample cases here are based on real-world scenarios and issues that .NET developers might come across when programming with OData in application development.This book will be your handy guide with basic to advanced walkthroughs of common OData programming cases for the Microsoft .NET Framework platform. You will learn quick solutions to necessary tasks to integrate the power of OData at both server-side and client-side.This book will help you master the use of OData with .NET Framework by taking you through hands-on and practical recipes. It starts by talking about the common means for building OData services and consuming OData services in client applications. Then, some more specific topics like hosting, configuration and security are discussed. The book also covers many popular and interesting topics such as integrating OData in web applications, and developing data-driven mobile applications with OData. Moreover, you can also find quite a few recipes discussing real-world OData producers and new features in latest and future versions.Within OData Programming Cookbook for .NET Developers, all the recipes are selected based on real-world scenarios that you will commonly come across. Each recipe covers a specific topic, going from the description of the problem, through a conceptual solution, to a solution containing sample code. By following these recipes, you can acquire how to program with OData in a simple, effective, and easy manner.
Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
In the competitive data-centric world, mastering data stewardship is not just a requirement—it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency.From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You’ll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You’ll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you’ll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship.By the end of this book, you’ll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.