Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you'll need to become one. You'll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases. By the end of this book, you'll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is forThis book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You'll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.

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.

Start defining your infrastructure using Docker Compose and leverage it for everyday development or deployment Key Features Distribute your code in an easier way for developers to get started Set up complex infrastructure for development and CI/CD purposes Deploy simple multi-container applications using Docker Compose Book DescriptionSoftware development is becoming increasingly complex due to the various software components used. Applications need to be packaged with software components to facilitate their operations, making it complicated to run them. With Docker Compose, a single command can set up your application and the needed dependencies. This book starts with an overview of Docker Compose and its usage and then shows how to create an application. You will also get to grips with the fundamentals of Docker volumes and network, along with Compose commands, their purpose, and use cases. Next, you will set up databases for daily usage using Compose and, leveraging Docker networking, you will establish communication between microservices. You will also run entire stacks locally on Compose, simulate production environments, and enhance CI/CD jobs using Docker Compose. Later chapters will show you how to benefit from Docker Compose for production deployments, provision infrastructure on public clouds such as AWS and Azure, and wrap up with Compose deployments on said infrastructure. By the end of this book, you will have learned how to effectively utilize Docker Compose for day-to-day development. What you will learn Create multi-container applications using Docker Compose Use Docker Compose for daily development Connect microservices leveraging Docker network fundamentals Add monitoring to services leveraging Prometheus Deploy to production using Docker Compose Translate Compose files to Kubernetes deployments Who this book is forThis book is for software engineers, developer advocates, and DevOps engineers looking to set up multi-container Docker applications using Compose without the need to set up a Docker orchestration engine. It is also for team leads looking to increase the productivity of an organization's software teams by streamlining the provisioning of complex development environments locally using Docker Compose. Readers are expected to understand containerization and must possess fundamental Docker knowledge to get started with this book.

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.

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.

Implement critical business processes with mySAP Business Suite to integrate key functions that add value to every facet of your organization Key Features Learn master data concepts and UI technologies in SAP systems Explore key functions of different sales processes, order fulfillment options, transportation planning, logistics execution processes, and customer invoicing Configure the Order to Cash process in SAP systems and apply it to your business needs Book DescriptionUsing different SAP systems in an integrated way to gain maximum benefits while running your business is made possible by this book, which covers how to effectively implement SAP Order to Cash Process with SAP Customer Relationship Management (CRM), SAP Advanced Planning and Optimization (APO), SAP Transportation Management System (TMS), SAP Logistics Execution System (LES), and SAP Enterprise Central Component (ECC). You'll understand the integration of different systems and how to optimize the complete Order to Cash Process with mySAP Business Suite. With the help of this book, you'll learn to implement mySAP Business Suite and understand the shortcomings in your existing SAP ECC environment. As you advance through the chapters, you'll get to grips with master data attributes in different SAP environments and then shift focus to the Order to Cash cycle, including order management in SAP CRM, order fulfillment in SAP APO, transportation planning in SAP TMS, logistics execution in SAP LES, and billing in SAP ECC. By the end of this SAP book, you'll have gained a thorough understanding of how different SAP systems work together with the Order to Cash process. What you will learn Discover master data in different SAP environments Find out how different sales processes, such as quotations, contracts, and order management, work in SAP CRM Become well-versed with the steps involved in order fulfillment, such as basic and advanced ATP checks in SAP APO Get up and running with transportation requirement and planning and freight settlement with SAP TMS Explore warehouse management with SAP LES to ensure high transparency and predictability of processes Understand how to process customer invoicing with SAP ECC Who this book is forThis book is for SAP consultants, SME managers, solution architects, and key users of SAP with knowledge of end-to-end business processes. Customers operating SAP CRM, SAP TMS, and SAP APO as part of daily operations will also benefit from this book by understanding the key capabilities and integration touchpoints. Working knowledge of SAP ECC, SAP CRM, SAP APO, SAP TMS, and SAP LES is necessary to get started with this book.

Die vorliegende Dissertation entstand wahrend meiner Tatig- keit als wissenschaftlicher Mitarbeiter am Fraunhofer- Institut fUr Produktionstechnik und Automatisierung (IPA) in Stuttgart. Herrn Professor Dr.-Ing. H.-J. Warnecke, dem Direktor des IPA sowie Leiter des Instituts fUr Industrielle Fertigung und Fabrikbetrieb der Universitat Stuttgart, bin ich fUr seine wohlwollende UnterstUtzung und seine Forderung bei der Durch- fUhrung der Arbeit zu groBem Dank verpflichtet. Herrn Professor Dr.-Ing. H. Grabowski danke ich vielmals fUr die eingehende Durchsicht der Arbeit und die sich daraus ergebenden Hinweise. Bei der DurchfUhrung der fUr die vorliegende Dissertation not- wendigen Untersuchungen wurde ich in groBzUgiger Weise von der Firma Siemens AG (GWK) in Karlsruhe unterstUtzt. HierfUr mochte ich insbesondere den Herren K. Adam, Obering. E. Bux und Ing. (grad.) E. KUhne danken. DarUber hinaus mochte ich allen Mitarbeitern der genannten Institute danken, die mir durch Kritik und Diskussionsbereit- schaft beim Abfassen der Arbeit behilflich waren. Dieser Dank gilt insbesondere den Herren Dipl.-Ing. G.W. Dobler, Dr.-Ing. O. Hirschbach und bipl.-Math. R. Scheel.

Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data Key Features Get well-versed with DataRobot features using real-world examples Use this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycle Make use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML models Book DescriptionDataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors. What you will learn Understand and solve business problems using DataRobot Use DataRobot to prepare your data and perform various data analysis tasks to start building models Develop robust ML models and assess their results correctly before deployment Explore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problem Analyze a model's predictions and turn them into actionable insights for business users Understand how DataRobot helps in governing, deploying, and maintaining ML models Who this book is forThis book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.

Reduce the complexity of managing applications on Kubernetes and develop an enterprise pattern for application delivery Key Features Learn best practices from the core maintainer of Helm for application delivery and life cycle management Manage applications deployed in Kubernetes effectively using Helm Go beyond the basics when using Helm with key security considerations and management options Book DescriptionContainerization is one of the best ways to implement DevOps, and learning how to execute it effectively is an essential part of a developer's skillset. Kubernetes is the current industry standard for container orchestration. This book will help you discover the efficiency of managing applications running on Kubernetes with Helm. Starting with a brief introduction to Helm and its impact on users working with containers and Kubernetes, you'll delve into the primitives of Helm charts and their architecture and use cases. From there, you'll understand how to write Helm charts in order to automate application deployment on Kubernetes and work your way toward more advanced strategies. These enterprise-ready patterns are focused on concepts beyond the basics so that you can use Helm optimally, looking at topics related to automation, application development, delivery, lifecycle management, and security. By the end of this book, you'll have learned how to leverage Helm to build, deploy, and manage applications on Kubernetes. What you will learn Understand how to deploy applications on Kubernetes with ease Package dynamic applications for deployment on Kubernetes Integrate Helm into an existing software release process Develop an enterprise automation strategy on Kubernetes using Helm Use Helm within a Helm Kubernetes operator Leverage Helm in a secure and stable manner that fits the enterprise Discover the ins and outs of automation with Helm Who this book is forThis book is for Kubernetes developers or administrators who are interested in learning Helm to provide automation for app development on Kubernetes. Although no prior knowledge of Helm is required, basic knowledge of Kubernetes application development will be useful.

Learn how to create sophisticated and reliable Logic Apps with improved UX Key Features Become an Azure Master and create data flows within a matter of minutes Perform transfers using Logic Apps with prompt results Create powerful Logic Apps by enhancing your systems to improve user experience Book DescriptionLogic Apps are a visual flowchart-like representation of common programming actions, and are a flexible way to create logic without writing a single line of code. Enterprise Integration with Azure Logic Apps is a comprehensive introduction for anyone new to Logic Apps which will boost your learning skills and allow you to create rich, complex, structured, and reusable logic with instant results. You'll begin by discovering how to navigate the Azure portal and understand how your objects can be zoned to a specific environment by using resource groups. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will teach you the benefits and foundations of Logic App logic design. As you advance, you'll find out how to manage your Azure environment in relation to Logic Apps and how to create elegant and reliable Logic Apps. With useful and practical explanations of how to get the most out of Logic App actions and triggers, you'll be able to ensure that your Logic Apps work efficiently and provide seamless integration for real-world scenarios without having to write code. By the end of this Logic Apps book, you'll be able to create complex and powerful Logic Apps within minutes, integrating large amounts of data on demand, enhancing your systems, and linking applications to improve user experience. What you will learn Understand how to use blades, overview pages, and subscription pages Discover how to create a Microsoft account to manage your tenant Use a Visual Studio subscription with Azure to manage your Logic Apps Find out how to manage the cloud by analyzing runs, executions, and costs Create resource groups to zone your enterprise environments Support a development life cycle from sandbox through to production Who this book is forIf you are an aspiring infrastructure technician who already uses Azure in place of on-premises solutions and is now looking to link systems together, then this book is for you. This book is also for developers interested in systems integration where legacy systems may not have a direct data link and the cloud is the intermediary step. Power users with existing IT skills and experience with Power BI and Power Automate will also find this book useful.

Learn how to defend your ICS in practice, from lab setup and intel gathering to working with SCADA Key Features Become well-versed with offensive ways of defending your industrial control systems Learn about industrial network protocols, threat hunting, Active Directory compromises, SQL injection, and much more Build offensive and defensive skills to combat industrial cyber threats Book DescriptionThe industrial cybersecurity domain has grown significantly in recent years. To completely secure critical infrastructure, red teams must be employed to continuously test and exploit the security integrity of a company's people, processes, and products. This is a unique pentesting book, which takes a different approach by helping you gain hands-on experience with equipment that you'll come across in the field. This will enable you to understand how industrial equipment interacts and operates within an operational environment. You'll start by getting to grips with the basics of industrial processes, and then see how to create and break the process, along with gathering open-source intel to create a threat landscape for your potential customer. As you advance, you'll find out how to install and utilize offensive techniques used by professional hackers. Throughout the book, you'll explore industrial equipment, port and service discovery, pivoting, and much more, before finally launching attacks against systems in an industrial network. By the end of this penetration testing book, you'll not only understand how to analyze and navigate the intricacies of an industrial control system (ICS), but you'll also have developed essential offensive and defensive skills to proactively protect industrial networks from modern cyberattacks. What you will learn Set up a starter-kit ICS lab with both physical and virtual equipment Perform open source intel-gathering pre-engagement to help map your attack landscape Get to grips with the Standard Operating Procedures (SOPs) for penetration testing on industrial equipment Understand the principles of traffic spanning and the importance of listening to customer networks Gain fundamental knowledge of ICS communication Connect physical operational technology to engineering workstations and supervisory control and data acquisition (SCADA) software Get hands-on with directory scanning tools to map web-based SCADA solutions Who this book is forIf you are an ethical hacker, penetration tester, automation engineer, or IT security professional looking to maintain and secure industrial networks from adversaries, this book is for you. A basic understanding of cybersecurity and recent cyber events will help you get the most out of this book.

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way.

Contemporary Management of Metastatic Colorectal Cancer: A Precision Medicine Approach summarizes current knowledge and provides evidenced-based practice recommendations on how to treat patients with metastatic colorectal cancer. The book presents topics such as pre-operating imaging, the use of molecular markers in treatment decisions, neoadjuvant therapy, synchronous colorectal liver metastasis, and minimally invasive approaches. In addition, it discusses immunotherapy, targeted therapies and survivorship. This is a valuable resource for practitioners, cancer researchers, oncologists, graduate students and members of biomedical research who need to understand more about novel treatments for colorectal cancer metastasis.

Explore Kinesis managed services such as Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video Streams with the help of practical use cases Key Features Get well versed with the capabilities of Amazon Kinesis Explore the monitoring, scaling, security, and deployment patterns of various Amazon Kinesis services Learn how other Amazon Web Services and third-party applications such as Splunk can be used as destinations for Kinesis data Book DescriptionAmazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale. Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you'll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk. By the end of this AWS book, you'll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA). What you will learn Get to grips with data streams, decoupled design, and real-time stream processing Understand the properties of KFH that differentiate it from other Kinesis services Monitor and scale KDS using CloudWatch metrics Secure KDA with identity and access management (IAM) Deploy KVS as infrastructure as code (IaC) Integrate services such as Redshift, Dynamo Database, and Splunk into Kinesis Who this book is forThis book is for solutions architects, developers, system administrators, data engineers, and data scientists looking to evaluate and choose the most performant, secure, scalable, and cost-effective data streaming technology to overcome their data ingestion and processing challenges on AWS. Prior knowledge of cloud architectures on AWS, data streaming technologies, and architectures is expected.

Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your data Key Features Learn how to gain better insights from your data by applying different AI techniques within Power BI Save time by creating machine learning models independently and integrating them within your BI reports Understand how to combine Cognitive Services and Azure Machine Learning together with Power BI Book DescriptionThe artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data. This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data. You'll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you'll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you'll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you'll work through principles such as privacy, fairness, and transparency to use AI responsibly. By the end of this book, you'll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI. What you will learn Apply techniques to mitigate bias and handle outliers in your data Prepare time series data for forecasting in Power BI Prepare and shape your data for anomaly detection Use text analytics in Power Query Editor Integrate QnA Maker with PowerApps and create an app Train your own models and identify the best one with AutoML Integrate an Azure ML workspace with Power BI and use endpoints to generate predictions Who this book is forThis artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book.

Learn how to extend the capabilities of Power Apps by building code components using Power Apps Component Framework Key Features Understand how to extend Power Apps' capabilities Enhance your skills with the help of practical code components used throughout the book Overcome common challenges, avoid pitfalls, and improve your code Book DescriptionPower Apps Component Framework is used by professional developers to extend the capabilities of model-driven and canvas apps. Extending Microsoft Power Apps with Power Apps Component Framework will take you through the basic as well as advanced topics using practical examples. The book starts by helping you understand the fundamentals of the framework, its lifecycle, and the tools that you'll use to build code components using best practices and file management guidelines. You'll then learn how to extend Power Apps step by step and apply the principles and concepts covered in the book to build code components for field type attributes. The book covers different ways of debugging code components and guides you through the process of building code components for datasets. You'll also explore the functions and methods provided by the framework to enhance your controls using powerful sets of libraries and extensions. As you advance, you'll get to grips with creating and managing authentication profiles, discover different ways of deploying code components, and configure code components in model-driven and canvas apps. Finally, you'll learn some of the important features of the framework and learn modern web development practices. By the end of this Power Apps book, you'll be able to build, debug, enrich, and deploy code components confidently. What you will learn Understand the fundamentals of Power Apps Component Framework Explore the tools that make it easy to build code components Build code components for both a field and a dataset Debug using test harness and Fiddler Implement caching techniques Find out how to work with the Dataverse Web API Build code components using React and Fluent UI controls Discover different deployment strategies Who this book is forThis book is for developers who are looking to build advanced skills for extending the capabilities of Power Apps. Basic knowledge of Power Apps and web development is necessary to get started with this book.