A practical guide filled with over 120 infographics to help you administer Moodle for large organizations and small enterprises, updated to Moodle 4 and packed with real-world examples addressing today's LMS needs Key Features Learn how to plan, install, customize, and optimize Moodle and Moodle Workplace Deliver a cutting-edge learning experience in a secure and customizable environment while optimizing the Moodle environment Discover solutions to common problems while administering Moodle using a wide range of real-world examples Book DescriptionThis updated fourth edition of the classic Moodle Administration guide has been written from the ground up and covers all the new Moodle features in great breadth and depth. The topics have also been augmented with professional diagrams, illustrations, and checklists. The book starts by covering basic tasks such as how to set up and configure Moodle and perform day-to-day administration activities. You'll then progress to more advanced topics that show you how to customize and extend Moodle, manage authentication and enrolments, and work with roles and capabilities. Next, you'll learn how to configure pedagogical and technical Moodle plugins and ensure your LMS complies with data protection regulations. Then, you will learn how to tighten Moodle's security, improve its performance, and configure backup and restore procedures. Finally, you'll gain insights on how to compile custom reports, configure learning analytics, enable mobile learning, integrate Moodle via web services, and support different types of multi-tenancy. By the end of this book, you'll be able to set up an efficient, fully fledged, and secure Moodle system. What you will learn Get expert techniques to handle courses, categories, and enrolments in Moodle Manage users, cohorts, roles, and authentication in a professional manner Configure and manage core and third-party plugins and integrations like a pro Explore different levels of technical and educational configuration Enhance Moodle's look and feel to create engaging user experiences and ensure compliance with your corporate branding Gain insights by creating powerful custom reports and learning analytics Ensure your Moodle or Moodle Workplace complies with the latest GDPR regulations Support different learning settings, including home-office based learning, mobile learning, and multi-tenancy Who this book is forIf you're new to Moodle or an experienced administrator, this book is for you. It's also ideal for anyone who has to administer a Moodle system. Whether you're dealing with a small-scale local Moodle site or a large-scale multi-site learning management system, this book will assist you with any administrative task you may encounter on your journey. Basic Moodle or Moodle Workplace knowledge will be helpful, but not essential.

New Paradigm for considering application integration and B2B problems Heightens the importance of conveying meaning between systems Addresses movement in the EAI space toward more data handling capabilities Offers a solution for the multitude of managers disconnected with the latest technologies Leverages the technical advances made in complex data integration over 15 years Shifts the focus from technology solutions to information solutions Relies heavily on the use of practical examples, tips, definitions, and soapbox excerpts throughout the main body of text

Build intelligent bots with a low-code design studio from SAP to automate repetitive manual processes and thus save precious labor hours and improve the business process efficiency Key Features Perform quick integration with an older system where building a standard integration might be too expensive Avoid erroneous data caused by inadvertent errors introduced by human actors due to lack of checks Increase productivity by working on high-value-added activities Book DescriptionSAP Intelligent Robotic Process Automation (RPA) enables businesses to automate repetitive work and integrate automation capabilities across SAP and non-SAP systems. This book provides end-to-end coverage of business process automation using SAP Intelligent RPA and shows how to build multiple SAP Intelligent RPA projects from start to finish. Some of these projects may build upon the work done in previous chapters to showcase the Agile development process in SAP Intelligent RPA. As you progress, you'll cover the SAP Intelligent RPA factory, Desktop Studio, Cloud Studio, and the Bot store. You'll also learn about the building blocks of the SAP Intelligent RPA solution and creating bots from initial application declaration to workflow design and deployment, along with making bots run in attended and unattended modes. You'll also learn about SAP Process Automation, the new SAP service that is going to replace the SAP Intelligent RPA service soon. Finally, we will discuss the migration path for your SAP Intelligent RPA projects to SAP Process Automation and showcase that the RPA development remains similar in both services. By the end of this RPA book, you'll be able to create and manage complex bots that are capable of interacting with SAP and non-SAP systems. What you will learn Understand RPA and the broad context that RPA operates in Explore the low-code, no-code, and pro-code capabilities offered by SAP Intelligent RPA 2.0 Focus on bot development, testing, deployment, and configuration using SAP Intelligent RPA Get to grips with SAP Intelligent RPA 2.0 components and explore the product development roadmap Debug your project to identify the probable reasons for errors and remove existing and potential bugs Understand security within SAP Intelligent RPA, authorization, roles, and authentication Who this book is forThis book is for developers and business users who are interested in learning SAP Intelligent RPA for automation of non-value-added, monotonous, and error-prone work. A basic understanding of JavaScript programming is required to engage in pro-code development for addressing complex challenges.

Build, deploy, and manage containers with the next-generation engine and tools Key Features Discover key differences between Docker and Podman Build brand new container images with Buildah, the Podman companion Learn how to manage and integrate containers securely in your existing infrastructure Book DescriptionAs containers have become the new de facto standard for packaging applications and their dependencies, understanding how to implement, build, and manage them is now an essential skill for developers, system administrators, and SRE/operations teams. Podman and its companion tools Buildah and Skopeo make a great toolset to boost the development, execution, and management of containerized applications. Starting with the basic concepts of containerization and its underlying technology, this book will help you get your first container up and running with Podman. You'll explore the complete toolkit and go over the development of new containers, their lifecycle management, troubleshooting, and security aspects. Together with Podman, the book illustrates Buildah and Skopeo to complete the tools ecosystem and cover the complete workflow for building, releasing, and managing optimized container images. Podman for DevOps provides a comprehensive view of the full-stack container technology and its relationship with the operating system foundations, along with crucial topics such as networking, monitoring, and integration with systemd, docker-compose, and Kubernetes. By the end of this DevOps book, you'll have developed the skills needed to build and package your applications inside containers as well as to deploy, manage, and integrate them with system services. What you will learn Understand Podman's daemonless approach as a container engine Run, manage, and secure containers with Podman Discover the strategies, concepts, and command-line options for using Buildah to build containers from scratch Manage OCI images with Skopeo Troubleshoot runtime, build, and isolation issues Integrate Podman containers with existing networking and system services Who this book is forThe book is for cloud developers looking to learn how to build and package applications inside containers and system administrators who want to deploy, manage, and integrate them with system services and orchestration solutions. This book provides a detailed comparison between Docker and Podman to aid you in learning Podman quickly.

Build production-grade machine learning models with Amazon SageMaker Studio, the first integrated development environment in the cloud, using real-life machine learning examples and code Key Features Understand the ML lifecycle in the cloud and its development on Amazon SageMaker Studio Learn to apply SageMaker features in SageMaker Studio for ML use cases Scale and operationalize the ML lifecycle effectively using SageMaker Studio Book DescriptionAmazon SageMaker Studio is the first integrated development environment (IDE) for machine learning (ML) and is designed to integrate ML workflows: data preparation, feature engineering, statistical bias detection, automated machine learning (AutoML), training, hosting, ML explainability, monitoring, and MLOps in one environment. In this book, you'll start by exploring the features available in Amazon SageMaker Studio to analyze data, develop ML models, and productionize models to meet your goals. As you progress, you will learn how these features work together to address common challenges when building ML models in production. After that, you'll understand how to effectively scale and operationalize the ML life cycle using SageMaker Studio. By the end of this book, you'll have learned ML best practices regarding Amazon SageMaker Studio, as well as being able to improve productivity in the ML development life cycle and build and deploy models easily for your ML use cases. What you will learn Explore the ML development life cycle in the cloud Understand SageMaker Studio features and the user interface Build a dataset with clicks and host a feature store for ML Train ML models with ease and scale Create ML models and solutions with little code Host ML models in the cloud with optimal cloud resources Ensure optimal model performance with model monitoring Apply governance and operational excellence to ML projects Who this book is forThis book is for data scientists and machine learning engineers who are looking to become well-versed with Amazon SageMaker Studio and gain hands-on machine learning experience to handle every step in the ML lifecycle, including building data as well as training and hosting models. Although basic knowledge of machine learning and data science is necessary, no previous knowledge of SageMaker Studio and cloud experience is required.

Practical recipes and real-world examples to help you create custom solutions, automate processes, and extend the platform's capabilities. Using Power Apps, Power Automate, Component Framework, and Dataverse, you can implement RPA technologies and more Key Features * Enhanced with a new chapter on Power Apps Portals, robotic process automation technologies, Map capabilities to canvas apps, solutions using mixed reality, and much more * Explore a variety of built-in templates to create custom apps for specific business scenarios * Strengthen your enterprise applications with advanced techniques and proven tips using a low-code approach Book Description Power Apps is a low-code platform owned by Microsoft. With this platform, you can create solutions to solve your business needs while integrating with other components of the Power Platform, such as Microsoft Power Automate, Microsoft Power BI, or others. This book is a handy solution guide to meet many organizational requirements. Microsoft Power Apps Cookbook, Second Edition takes a pragmatic approach where every business scenario is presented in a quick, practical, and action-oriented recipe. You will be able to use these instant solutions in your development environment and customize your business apps to meet the challenging business needs. This will help you handle real-world scenarios and experiences to give you a head start in your Power Apps projects. You will discover different aspects of Power Apps, from building canvas apps, designing model-driven solutions, extending with custom connectors, integrating with other platforms, moving to the pro-developer side using Power Apps Component Framework, and reaching beyond the organization with Power Apps Portals. By the end of this Microsoft Power Apps book, you'll have gained experience in developing applications using the Power Apps platform and all of its features. What you will learn * Extend your platform using maps and Mixed Reality * Design model-driven solutions using various features of Microsoft Dataverse * Reach beyond the organization with Microsoft Power Apps Portals * Automate business processes such as triggered events, status change notifications, and approval systems with Power Automate * Implement AI Builder's intelligent capabilities in your solutions * Learn to integrate and test canvas apps * Extend your business applications' capabilities using Power Apps Component Framework * Implement RPA technologies with Power Automate Who This Book Is For This book is targeted at information workers and citizen developers wanting to develop custom applications for their organizations or the projects they are undertaking. Traditional app developers will also find this book useful by discovering how to use a rapid application development environment with increased productivity and speed. Readers are expected to have prior exposure to the Microsoft Power Platform ecosystem.

In the digital economy, a new type of business activity, digital entrepreneurship, has developed rapidly and required breakthrough technologies such as blockchain, big data, cloud technologies, and more. There is a need for a comprehensive resource that provides all-encompassing insight into the essence, special aspects, models, and international best practices of e-business based on various digital technologies in various high-tech markets. Digital Technologies for Entrepreneurship in Industry 4.0 provides theoretical frameworks and recent results of research in this sphere. It substantiates digital entrepreneurship, discusses the practical experience of its implementation, and develops the scientific and methodological recommendations for the development of its infrastructural provision and regulation of provision of its competitiveness. Covering topics such as investment attractiveness, corporate reporting modernization, and public-private partnership mechanisms, this premier reference source is an excellent resource for entrepreneurs, business executives and managers, investors, IT managers, students and faculty of higher education, researchers, and academicians.

Become a proficient Odoo developer and increase your productivity while building Odoo business applications Key Features Set up the Odoo development environment and learn how to test and debug your code Use the ORM framework to work with data and implement business logic supporting business rules Design user interfaces, web pages, and business reports using the Odoo framework's web components Book DescriptionOdoo is fast becoming the reference open source platform for business applications thanks to the fact that it provides the infrastructure needed for developers to deliver software solutions for any business process quickly. Odoo's layered module approach makes it particularly effective for combining and extending features. This updated fifth edition is a tutorial-style introduction to essential Odoo development topics. The book starts by covering the development essentials for building business applications and takes you through Odoo installation and configuration, gradually transitioning from having no specific knowledge of Odoo to being ready for application development. You'll then learn how to develop your first Odoo application, while covering topics such as models and views. Later chapters will get you up to speed with using server APIs to add business logic, helping you lay a solid foundation for advanced topics. As you progress, you'll get equipped to build and customize your applications and explore the new features available in Odoo 12 and beyond, such as in-memory ORM and computed writable fields. Finally, you'll gain insights into building business logic and using the Odoo API to integrate with various applications. By the end of this book, you'll be able to build business apps from scratch using the latest version of Odoo. What you will learn Install Odoo from source and organize the development environment Create your first Odoo app from scratch Understand the application components available in Odoo Structure the application's data model using ORM features Use the ORM API to implement the business logic layer Design a graphical user interface (GUI) for the web client and website Use the Odoo External API to interface with external systems Deploy and maintain your application in production environments Who this book is forThis book is for developers who want to learn Odoo application development and quickly become productive while creating business applications. Teachers, trainers, and Odoo team managers will also find the book useful for helping their students or trainees to learn Odoo development skills. Basic knowledge of Python programming is required to get started with the book