This is the first ERP book to present comprehensive strategies and techniques that enable organizations to take charge of their ERP projects to drive success. The author describes how to become less dependent on outside software consultants, significantly reduce implementation and support costs, mitigate risks, and design business solutions that work for your company. This book also contains hundreds of tips to create internal project ownership, manage ERP vendors, transfer software knowledge, develop the right implementation strategies, establish a realistic schedule and budget, and streamline business processes. It is a guide for making informed decisions during each project phase. The information is applicable to new implementations and system upgrades. The book is endorsed by R "Ray" Wang, Tom F. Wallace, and Andy Klee

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.

Now in full color, this edition of Learning Tableau will empower you to bring data to life and make better business decisions Key Features * Learn the basics of data analysis, from snappy visualizations to comprehensive dashboards, now in full color * Gain meaningful insights with geospatial analysis, scripting extensions, and other advanced methods * Explore the latest Tableau 2022 features, including Einstein Discovery and Explain Data Book Description Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features. This new edition is updated with Tableau's latest features, such as dashboard extensions, Explain Data, and integration with Einstein Discovery, which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau. After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data. You'll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau's Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder's ability to efficiently clean and structure data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data. What you will learn * Develop stunning visualizations to explain complex data with clarity * Build interactive dashboards to drive actionable user insights for large datasets * Explore Data Model capabilities and interlink data from various sources * Create and use calculations to solve problems and enrich your data analytics * Enable smart decision-making with data clustering, distribution, and forecasting * Extend Tableau's native functionality with extensions, scripts, and Einstein Discovery AI * Leverage Tableau Prep Builder's amazing capabilities for data cleaning and structuring * Share your data stories to build a culture of trust and action Who This Book Is For This Tableau book is for aspiring BI developers and data analysts, data scientists, researchers, and anyone else who wants to gain a deeper understanding of data through Tableau. This book starts from the ground up, so you won't need any prior experience with Tableau before you dive in, but a full Tableau license (or 14-day demo license) is essential to be able to make use of all the exercises.

Enhance your Azure administration and Azure DevOps skills and get up and running with networking, security, automation, and effective cost management Key Features Explore a variety of administration patterns used for different cloud architectures Discover best practices for administering various IT systems hosted in Azure Administer, automate, and manage your Azure cloud environment effectively Book DescriptionMicrosoft Azure is one of the upcoming cloud platforms that provide cost-effective solutions and services to help businesses overcome complex infrastructure-related challenges. This book will help you scale your cloud administration skills with Microsoft Azure. Learn Azure Administration starts with an introduction to the management of Azure subscriptions, and then takes you through Azure resource management. Next, you'll configure and manage virtual networks and find out how to integrate them with a set of Azure services. You'll then handle the identity and security for users with the help of Azure Active Directory, and manage access from a single place using policies and defined roles. As you advance, you'll get to grips with receipts to manage a virtual machine. The next set of chapters will teach you how to solve advanced problems such as DDoS protection, load balancing, and networking for containers. You'll also learn how to set up file servers, along with managing and storing backups. Later, you'll review monitoring solutions and backup plans for a host of services. The last set of chapters will help you to integrate different services with Azure Event Grid, Azure Automation, and Azure Logic Apps, and teach you how to manage Azure DevOps. By the end of this Azure book, you'll be proficient enough to easily administer your Azure-based cloud environment. What you will learn Explore different Azure services and understand the correlation between them Secure and integrate different Azure components Work with a variety of identity and access management (IAM) models Find out how to set up monitoring and logging solutions Build a complete skill set of Azure administration activities with Azure DevOps Discover efficient scaling patterns for small and large workloads Who this book is forThis book is for cloud administrators, system administrators, and IT professionals who want to scale up their skillset and enter the world of cloud computing. IT professionals and engineers who are already familiar with the basics of the Azure services and are looking for a step-by-step guide to solving the most common Azure problems will also find this book useful. Basic understanding of cloud concepts such as IaaS, PaaS, virtualization, networking, and common Azure services is required.

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

An architect's guide to designing, implementing, and integrating DevOps in the enterprise Key Features Design a DevOps architecture that is aligned with the overall enterprise architecture Design systems that are ready for AIOps and make the move toward NoOps Architect and implement DevSecOps pipelines, securing the DevOps enterprise Book DescriptionDigital transformation is the new paradigm in enterprises, but the big question remains: is the enterprise ready for transformation using native technology embedded in Agile/DevOps? With this book, you'll see how to design, implement, and integrate DevOps in the enterprise architecture while keeping the Ops team on board and remaining resilient. The focus of the book is not to introduce the hundreds of different tools that are available for implementing DevOps, but instead to show you how to create a successful DevOps architecture. This book provides an architectural overview of DevOps, AIOps, and DevSecOps - the three domains that drive and accelerate digital transformation. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this DevOps book will help you to successfully integrate DevOps into enterprise architecture. You'll learn what AIOps is and what value it can bring to an enterprise. Lastly, you will learn how to integrate security principles such as zero-trust and industry security frameworks into DevOps with DevSecOps. By the end of this DevOps book, you'll be able to develop robust DevOps architectures, know which toolsets you can use for your DevOps implementation, and have a deeper understanding of next-level DevOps by implementing Site Reliability Engineering (SRE). What you will learn Create DevOps architecture and integrate it with the enterprise architecture Discover how DevOps can add value to the quality of IT delivery Explore strategies to scale DevOps for an enterprise Architect SRE for an enterprise as next-level DevOps Understand AIOps and what value it can bring to an enterprise Create your AIOps architecture and integrate it into DevOps Create your DevSecOps architecture and integrate it with the existing DevOps setup Apply zero-trust principles and industry security frameworks to DevOps Who this book is forThis book is for enterprise architects and consultants who want to design DevOps systems for the enterprise. It provides an architectural overview of DevOps, AIOps, and DevSecOps. If you're looking to learn about the implementation of various tools within the DevOps toolchain in detail, this book is not for you.

There is no doubt that there has been much excitement regarding the pioneering contributions of artificial intelligence (AI), the internet of things (IoT), and blockchain technologies and tools in visualizing and realizing smarter as well as sophisticated systems and services. However, researchers are being bombarded with various machine and deep learning algorithms, which are categorized as a part and parcel of the enigmatic AI discipline. The knowledge discovered gets disseminated to actuators and other concerned systems in order to empower them to intelligently plan and insightfully execute appropriate tasks with clarity and confidence. The IoT processes in conjunction with the AI algorithms and blockchain technology are bound to lay out a stimulating foundation for producing and sustaining smarter systems for society. Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology articulates and accentuates various AI algorithms, fresh innovations in the IoT, and blockchain spaces. The domain of transforming raw data to information and to relevant knowledge is gaining prominence with the availability of data ingestion, processing, mining, analytics algorithms, platforms, frameworks, and other accelerators. Covering topics such as blockchain applications, Industry 4.0, and cryptography, this book serves as a comprehensive guide for AI researchers, faculty members, IT professionals, academicians, students, researchers, and industry professionals.

Learn Azure's cloud capabilities with the help of this introductory guide to employing Azure for your cloud infrastructure needs. Key Features Get a clear overview of Azure's capabilities and benefits, and learn how to get started efficiently Develop the ability to opt for cloud architecture and design that best fits your organization Leverage Azure opportunities for cost savings and optimization Book DescriptionMicrosoft Azure is a powerful cloud computing platform that offers a multitude of services and capabilities for organizations of any size moving to a cloud strategy. Azure Strategy and Implementation Guide Third Edition encapsulates the entire spectrum of measures involved in Azure deployment that includes understanding Azure fundamentals, choosing a suitable cloud architecture, building on design principles, becoming familiar with Azure DevOps, and learning best practices for optimization and management. The book begins by introducing you to the Azure cloud platform and demonstrating the substantial scope of digital transformation and innovation that can be achieved by leveraging Azure's capabilities. The guide further acquaints you with practical insights on application modernization, Azure Infrastructure as a Service (IaaS) deployment, infrastructure management, key application architectures, best practices of Azure DevOps, and Azure automation. By the end of this book, you will be proficient in driving Azure operations right from the planning and cloud migration stage to cost management and troubleshooting. What you will learn Deploy and run Azure infrastructure services Carry out detailed planning for migrating applications to the cloud with Azure Move underlying code class structure into a serverless model Use a gateway to isolate your services and applications Define roles and responsibilities in DevOps Implement release & deployment coordination and automation Who this book is forAzure Strategy and Implementation Guide Third Edition is designed to benefit Azure architects, cloud solution architects, Azure developers, Azure administrators, and anyone who wants to develop an expertise in operating and administering the Azure cloud. A basic familiarity with operating systems and databases will help you grasp the concepts covered in this book.

Transform your app ideas into fully functional prototypes with the help of expert tips and best practices from Mendix partners Key Features Meet the ever-increasing demand for software solution delivery without having to write any code Build high-availability, low-cost applications unlike those developed via a traditional software engineering approach Explore Mendix from product design through to delivery using real-world scenarios Book DescriptionLow-code is a visual approach to application development. It enables developers of varying experience levels to create web and mobile apps using drag-and-drop components and model-driven logic through a graphic user interface. Mendix is among the fastest-growing platforms that enable low-code enthusiasts to put their software ideas into practice without having to write much code, and Building Low-Code Applications with Mendix will help you get up and running with the process using examples and practice projects. The book starts with an introduction to Mendix, along with the reasons for using this platform and its tools for creating your first app. As you progress, you'll explore Mendix Studio Pro, the visual environment that will help you learn Mendix app creation. Once you have your working app ready, you'll understand how to enhance it with custom business logic and rules. Next, you'll find out how to defend your app against bad data, troubleshoot and debug it, and finally, connect it with real-world business platforms. You'll build practical skills as the book is filled with examples, real-world scenarios, and explanations of the tools needed to help you build low-code apps successfully. By the end of this book, you'll have understood the concept of low-code development, learned how to use Mendix effectively, and developed a working app. What you will learn Gain a clear understanding of what low-code development is and the factors driving its adoption Become familiar with the various features of Mendix for rapid application development Discover concrete use cases of Studio Pro Build a fully functioning web application that meets your business requirements Get to grips with Mendix fundamentals to prepare for the Mendix certification exam Understand the key concepts of app development such as data management, APIs, troubleshooting, and debugging Who this book is forThis book is for tech-savvy business analysts and citizen developers who want to get started with Mendix for rapid mobile and web application development. The book is also helpful for seasoned developers looking to learn a new tool/platform and for anyone passionate about designing technical solutions without wanting to indulge in the complexities of writing code. The book assumes beginner-level knowledge of object-oriented programming and the ability to translate technical solutions from business requirements.

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.

Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV) Key Features Become well-versed with best practices for implementing automated analytical computations Discover real-world examples to extend cloud intelligence Develop your skills by understanding edge analytics and applying it to research activities Book DescriptionEdge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it's gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you've learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations. What you will learn Discover the key concepts and architectures used with edge analytics Understand how to use long-distance communication protocols for edge analytics Deploy Microsoft Azure IoT Edge to a Raspberry Pi Create Node-RED dashboards with MQTT and Text to Speech (TTS) Use MicroPython for developing edge analytics apps Explore various machine learning techniques and discover how machine learning is related to edge analytics Use camera and vision recognition algorithms on the sensory side to design an edge analytics app Monitor and audit edge analytics apps Who this book is forIf you are a data analyst, data architect, or data scientist who is interested in learning and practicing advanced automated analytical computations, then this book is for you. You will also find this book useful if you're looking to learn edge analytics from scratch. Basic knowledge of data analytics concepts is assumed to get the most out of this book.

This report assesses the current ecosystem for tech-based startups in Cambodia, focusing on agriculture, education, health, and climate change. It discusses the challenges facing tech startups and provides recommendations to overcome them. Technology-based startup enterprises are an increasingly important part of the business landscape in Asia and the Pacific. By applying innovative technologies to create new products and services, they can make a significant contribution to economic development while generating social and environmental benefits. However, to survive and then thrive, tech startups require an enabling ecosystem that includes supportive government policy, access to capital, skilled personnel, quality digital infrastructure and other elements. It is the first country report in the series "Ecosystems for Technology Startups in Asia and the Pacific.

Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable enterprise-level deployment Key Features Build scalable, seamless, and enterprise-ready cloud-based machine learning applications using TensorFlow Enterprise Discover how to accelerate the machine learning development life cycle using enterprise-grade services Manage Google's cloud services to scale and optimize AI models in production Book DescriptionTensorFlow as a machine learning (ML) library has matured into a production-ready ecosystem. This beginner's book uses practical examples to enable you to build and deploy TensorFlow models using optimal settings that ensure long-term support without having to worry about library deprecation or being left behind when it comes to bug fixes or workarounds. The book begins by showing you how to refine your TensorFlow project and set it up for enterprise-level deployment. You'll then learn how to choose a future-proof version of TensorFlow. As you advance, you'll find out how to build and deploy models in a robust and stable environment by following recommended practices made available in TensorFlow Enterprise. This book also teaches you how to manage your services better and enhance the performance and reliability of your artificial intelligence (AI) applications. You'll discover how to use various enterprise-ready services to accelerate your ML and AI workflows on Google Cloud Platform (GCP). Finally, you'll scale your ML models and handle heavy workloads across CPUs, GPUs, and Cloud TPUs. By the end of this TensorFlow book, you'll have learned the patterns needed for TensorFlow Enterprise model development, data pipelines, training, and deployment. What you will learn Discover how to set up a GCP TensorFlow Enterprise cloud instance and environment Handle and format raw data that can be consumed by the TensorFlow model training process Develop ML models and leverage prebuilt models using the TensorFlow Enterprise API Use distributed training strategies and implement hyperparameter tuning to scale and improve your model training experiments Scale the training process by using GPU and TPU clusters Adopt the latest model optimization techniques and deployment methodologies to improve model efficiency Who this book is forThis book is for data scientists, machine learning developers or engineers, and cloud practitioners who want to learn and implement various services and features offered by TensorFlow Enterprise from scratch. Basic knowledge of the machine learning development process will be useful.

A hands-on guide to learning Dynamics 365 Business Central Admin Center to manage SaaS environments and set up cloud migration from an on-premise environment Key Features Manage and create Business Central environments of different types and plan your apps for future releases Set up the telemetry on a tenant and extension level and analyze it with different tools Set up cloud migration to move data from on-premise to the cloud and automate migration with PowerShell script Book DescriptionThis book features all the information you need to get started with administrating Microsoft Dynamics 365 Business Central Online. It contains detailed information about the admin portal and cloud migration process, all based on real usage experience. The book starts by covering the data migration process for developers, which will show you how to organize the data without code. You'll also learn how the admin portal can be useful if you want to export a database copy, restore a backup, and set up telemetry to get detailed information about the call stack and operation statuses. As you progress, you'll learn how to check your Business Central SaaS environment details, create new and different types of environments, and notifications, and keep your cloud data within limits. Later, you'll explore how to set up cloud migration from an on-premise environment to SaaS, run the migration, upgrade data, and fix problems if something goes wrong. By the end of this book, you'll be able to create new production and sandbox environments, restore them from backups, analyze environment telemetry, and confidently migrate your data to the cloud. What you will learn Manage different Business Central environments, their statuses, and updates, and create new environments Understand how to deploy a SaaS environment from a backup Analyze environment telemetry and its operation, and discover how to set up extended telemetry with Application Insights Explore how to get information about tenant capacity limits and their usage of resources Set up cloud migration and move your data from on-premise to SaaS Automate administration and migration processes with APIs Who this book is forThis book is for business central developers, consultants, and customers who are involved in migration and administration processes. Those planning to move their on-premise solution to the cloud will also find this book helpful. Both developers and consultants will learn how to migrate data without a single line of code and use environment telemetry.