Publisher: Packt Publishing
Sergio Méndez
Edge computing is a way of processing information near the source of data instead of processing it on data centers in the cloud. In this way, edge computing can reduce latency when data is processed, improving the user experience on real-time data visualization for your applications. Using K3s, a light-weight Kubernetes and k3OS, a K3s-based Linux distribution along with other open source cloud native technologies, you can build reliable edge computing systems without spending a lot of money.In this book, you will learn how to design edge computing systems with containers and edge devices using sensors, GPS modules, WiFi, LoRa communication and so on. You will also get to grips with different use cases and examples covered in this book, how to solve common use cases for edge computing such as updating your applications using GitOps, reading data from sensors and storing it on SQL and NoSQL databases. Later chapters will show you how to connect hardware to your edge clusters, predict using machine learning, and analyze images with computer vision. All the examples and use cases in this book are designed to run on devices using 64-bit ARM processors, using Raspberry Pi devices as an example.By the end of this book, you will be able to use the content of these chapters as small pieces to create your own edge computing system.
Sean Howard
The surge in connected edge devices has driven organizations to capitalize on the opportunities presented by the massive amounts of data generated by these devices. However, adapting to this landscape demands significant changes in application architectures.This book serves as your guide to edge computing fundamentals, shedding light on the constraints and risks inherent in selecting solutions within this domain. You’ll explore an extensive suite of edge computing services from AWS, gaining insights into when and how to use AWS Outposts, AWS Wavelength, AWS Local Zones, AWS Snow Family, and AWS IoT Greengrass. With detailed use cases, technical requirements, and architectural patterns, you’ll master the practical implementation of these services and see how they work in real life through step-by-step examples, using the AWS CLI and AWS Management Console. To conclude, you’ll delve into essential security and operational considerations to maximize the value delivered by AWS services.By the end of this book, you'll be ready to design powerful edge computing architectures and handle complex edge computing use cases across multiple AWS services.
Regit .
It’s not about having the shiniest tools; it’s what you do with them. iMovie offers Apple users the ease of creating engaging videos using the free video editing application’s support for macOS, iOS, and iPadOS devices. Complete with step-by-step tutorials for essential tools and concepts and explanations for why you should use them, this practical guide to iMovie will leave you well-prepared for the world of post-production.This book begins with an introduction to some of the core principles of editing. You’ll learn how to easily make your videos coherent and concise and flex your creative muscles with Magic Movie and the Storyboard mode. Once you grasp how to use iMovie’s full-blown Movie modes for mobile devices and macOS, you’ll be able to use simple editing tools to deliver effective videos from import to export. Finally, you’ll explore Keynote for creating custom titles and animations and building a personal visual brand that makes your videos uniquely yours.By the end of this iMovie book, you’ll be on your way to becoming a creative problem-solver, using iMovie and other free apps to create high-quality, engaging videos for projects with different visual and technical requirements.
Bruce G. Macbryde
Edit Without Tears with Final Cut Pro is your essential guide to overcoming challenges in video editing using Final Cut Pro, simplifying complex procedures and workflows and providing a structured approach for efficient and impressive video editing. This book will change how you approach editing, guiding you to create professional-grade videos with ease and confidence.Throughout the book, you'll enhance your efficiency and speed, while also learning unique workflows for common tasks. The comprehensive coverage spans planning video narratives, crafting preliminary edits and refining them, improving audio quality, setting up and editing multicam sequences, leveraging the inspector's controls, and working with both built-in and third-party plugins. You’ll then advance to animating objects using keyframes, utilizing color scopes for advanced color correction, and troubleshooting common issues confidently.By the end of this Final Cut Pro book, you’ll have developed an efficient editing style, unlocking the full power of this video editing software for your creative endeavors.
Matthew A. Gilbert
If you are an educator creating a course for edX or a corporate trainer using Open edX for large-scale learning and development initiatives, then edX E-Learning Course Development is the ideal book for you.
Effective Amazon Machine Learning. Expert web services for machine learning on cloud
Alexis Perrier
Predictive analytics is a complex domain requiring coding skills, an understanding of the mathematical concepts underpinning machine learning algorithms, and the ability to create compelling data visualizations. Following AWS simplifying Machine learning, this book will help you bring predictive analytics projects to fruition in three easy steps: data preparation, model tuning, and model selection.This book will introduce you to the Amazon Machine Learning platform and will implement core data science concepts such as classification, regression, regularization, overfitting, model selection, and evaluation. Furthermore, you will learn to leverage the Amazon Web Service (AWS) ecosystem for extended access to data sources, implement realtime predictions, and run Amazon Machine Learning projects via the command line and the Python SDK. Towards the end of the book, you will also learn how to apply these services to other problems, such as text mining, and to more complex datasets.
Roberto Heckers
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.
Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
Rajesh Nadipalli
Amazon QuickSight is the next-generation Business Intelligence (BI) cloud service that can help you build interactive visualizations on top of various data sources hosted on Amazon Cloud Infrastructure. QuickSight delivers responsive insights into big data and enables organizations to quickly democratize data visualizations and scale to hundreds of users at a fraction of the cost when compared to traditional BI tools.This book begins with an introduction to Amazon QuickSight, feature differentiators from traditional BI tools, and how it fits in the overall AWS big data ecosystem. With practical examples, you will find tips and techniques to load your data to AWS, prepare it, and finally visualize it using QuickSight. You will learn how to build interactive charts, reports, dashboards, and stories using QuickSight and share with others using just your browser and mobile app.The book also provides a blueprint to build a real-life big data project on top of AWS Data Lake Solution and demonstrates how to build a modern data lake on the cloud with governance, data catalog, and analysis. It reviews the current product shortcomings, features in the roadmap, and how to provide feedback to AWS.Grow your profits, improve your products, and beat your competitors.