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Next-Level UI Development with PrimeNG: Master the versatile Angular component library to build stunning Angular applications
by Dale NguyenUnlock the full potential of PrimeNG and jumpstart your Angular development with essential tools and techniques for web application development Key FeaturesGain a comprehensive understanding of PrimeNG for Angular developmentLeverage PrimeNG's UI components, theming, and performance optimization to create scalable and competitive web appsApply concepts to real-world scenarios through practical examples guiding you to develop professional-grade projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionElevate your UI development skills with Next-Level UI Development with PrimeNG. In a digital landscape where the user interface plays a pivotal role, PrimeNG expertise is essential for Angular developers. This all-encompassing book shows you how to unleash this powerful UI component library in your Angular projects. From the initial setup to integration, you'll explore the synergy between Angular and PrimeNG and how it can help you enhance your projects. You’ll work with a wide range of UI components and features, such as input controls, data display, manipulation, and navigation, which allow you to build intuitive and dynamic user interfaces. You'll also discover advanced techniques and best practices for theming, performance optimization, creating reusable components, and handling internationalization and localization. With insights into testing and debugging PrimeNG components, this book ensures the development of robust and error-free applications, and finally guides you toward putting your knowledge into practice by building a real-world responsive web application. By the end of this book, you will be able to harness the full potential of PrimeNG, enabling you to create extraordinary web experiences that stand out from the rest.What you will learnSeamlessly integrate PrimeNG with Angular for robust web app developmentUse a diverse set of UI components for input, data display, manipulation, navigation, and layoutCustomize and theme PrimeNG components to align with your application's branding and design specificationsOptimize performance for efficient and smooth-running applicationsCreate reusable and extendable components to streamline developmentHandle internationalization and localization for global user basesTest and debug PrimeNG components effectivelyWho this book is forIf you're an Angular developer or enthusiast eager to elevate your skills in crafting robust, visually appealing, and scalable web applications, then this book is for you. Whether you identify as a frontend developer, a full-stack developer, or someone who values performance, you'll discover invaluable insights into customizing themes and seamlessly implementing responsive designs.
AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide: The ultimate guide to passing the MLS-C01 exam on your first attempt
by Somanath Nanda Weslley MouraPrepare confidently for the AWS MLS-C01 certification with this comprehensive and up-to-date exam guide, accompanied by web-based tools such as mock exams, flashcards, and hands-on activitiesKey FeaturesGain proficiency in AWS machine learning services to excel in the MLS-C01 examBuild model training and inference pipelines and deploy machine learning models to the AWS cloudPractice on the go with the mobile-friendly bonus website, accessible with the bookPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe AWS Certified Machine Learning Specialty (MLS-C01) exam evaluates your ability to execute machine learning tasks on AWS infrastructure. This comprehensive book aligns with the latest exam syllabus, offering practical examples to support your real-world machine learning projects on AWS. Additionally, you'll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices—PCs, tablets, and smartphones. Throughout the book, you’ll learn data preparation techniques for machine learning, covering diverse methods for data manipulation and transformation across different variable types. Addressing challenges such as missing data and outliers, the book guides you through an array of machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, accompanied by requisite machine learning algorithms essential for exam success. The book helps you master the deployment of models in production environments and their subsequent monitoring. Equipped with insights from this book and the accompanying mock exams, you'll be fully prepared to achieve the AWS MLS-C01 certification.What you will learnIdentify ML frameworks for specific tasksApply CRISP-DM to build ML pipelinesCombine AWS services to build AI/ML solutionsApply various techniques to transform your data, such as one-hot encoding, binary encoder, ordinal encoding, binning, and text transformationsVisualize relationships, comparisons, compositions, and distributions in the dataUse data preparation techniques and AWS services for batch and real-time data processingCreate training and inference ML pipelines with Sage MakerDeploy ML models in a production environment efficientlyWho this book is forThis book is designed for both students and professionals preparing for the AWS Certified Machine Learning Specialty exam or enhance their understanding of machine learning, with a specific emphasis on AWS. Familiarity with machine learning basics and AWS services is recommended to fully benefit from this book.
Building Interactive Dashboards in Microsoft 365 Excel: Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
by Michael OlafusiUnleash the full potential of Microsoft Excel's latest version and elevate your data-driven prowess with this comprehensive resourceKey FeaturesCreate robust and automated dashboards in Excel for M365Apply data visualization principles and employ dynamic charts and tables to create constantly updated and informative dashboards for your organizationUncover the best practices for effective dashboard creationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionM365 Excel is a modern Excel version that is constantly updated with features that make creating and automating analyses, reports, and dashboards very easy compared with older Excel versions. This book will help you leverage its full capabilities, beginning with a quick overview of what dashboards are and how they are different from other types of reports. Then, you’ll familiarize yourself with the different standard dashboards currently available and what they are meant to accomplish for organizations. As you progress, you’ll get to grips with the use of new powerful tools such as Power Query and dynamic array formulae in the automation of analysis, gaining insights into the right approach to take in building effective dashboards. You’ll equip yourself with not only all the essential formulae, charts, and non-chart visuals but also learn how to set up your dashboard perfectly. Along the way, you’ll build a couple of awesome dashboards from scratch to utilize your newfound knowledge. By the end of this book, you will be able to carry out an impressive and robust level of analysis on business data that may come from multiple sources or files, using better processes, formulae, and best practices in M365 to create insightful dashboards faster.What you will learnUnderstand the importance of dashboards in today's business analytics environmentDelve into the various essential formulae in ExcelUtilize Power Query to shape and transform data to extract insights easilyExplore the power of the new dynamic array functions in M365Employ PivotTable and Power Pivot to automate your dashboardsMaster the setup and optimization of your dashboard canvasDiscover best practices for visualization, charts, and effective dashboard creationConsolidate your knowledge through a hands-on concluding projectWho this book is forThis book is for Microsoft Excel users, especially those tasked with creating dynamic reports and dashboards that require data and help support to decision-makers within an organization with visually engaging and actionable insights. Financial analysts, data analysts, business analysts, and BI professionals will also greatly benefit from this book. Some familiarity with the Microsoft Excel interface is a prerequisite.
C# Data Structures and Algorithms: Harness the power of C# to build a diverse range of efficient applications
by Marcin JamroWrite sophisticated C# code with this complete guide to using diverse data structures and algorithms, featuring ready-to-use code snippets, detailed explanations, and illustrationsKey FeaturesMaster lists, stacks, queues, dictionaries, sets, and trees, among other data structuresDelve into effective design and implementation techniques to meet your software requirementsVisualize data structures and algorithms through illustrations for a clearer understanding of their analysisPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionBuilding your own applications is exciting but challenging, especially when tackling complex problems tied to advanced data structures and algorithms. This endeavor demands profound knowledge of the programming language as well as data structures and algorithms – precisely what this book offers to C# developers. Starting with an introduction to algorithms, this book gradually immerses you in the world of arrays, lists, stacks, queues, dictionaries, and sets. Real-world examples, enriched with code snippets and illustrations, provide a practical understanding of these concepts. You’ll also learn how to sort arrays using various algorithms, setting a solid foundation for your programming expertise. As you progress through the book, you’ll venture into more complex data structures – trees and graphs – and discover algorithms for tasks such as determining the shortest path in a graph before advancing to see various algorithms in action, such as solving Sudoku. By the end of the book, you’ll have learned how to use the C# language to build algorithmic components that are not only easy to understand and debug but also seamlessly applicable in various applications, spanning web and mobile platforms.What you will learnUnderstand the fundamentals of algorithms and their classificationStore data using arrays and lists, and explore various ways to sort arraysBuild enhanced applications with stacks, queues, hashtables, dictionaries, and setsCreate efficient applications with tree-related algorithms, such as for searching in a binary search treeBoost solution efficiency with graphs, including finding the shortest path in the graphImplement algorithms solving Tower of Hanoi and Sudoku games, generating fractals, and even guessing the title of this bookWho this book is forThis book is for developers looking to learn data structures and algorithms in C#. While basic programming skills and C# knowledge is useful, beginners will find value in the provided code snippets, illustrations, and detailed explanations, enhancing their programming skills. Advanced developers can use this book as a valuable resource for reusable code snippets, instead of writing algorithms from scratch each time.
Cracking the Data Science Interview: Unlock insider tips from industry experts to master the data science field
by Leondra R. Gonzalez Aaren StubberfieldRise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much moreKey FeaturesAcquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learningGain the confidence to explain complex statistical, machine learning, and deep learning theoryExtend your expertise beyond model development with version control, shell scripting, and model deployment fundamentalsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company. Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview. By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.What you will learnExplore data science trends, job demands, and potential career pathsSecure interviews with industry-standard resume and portfolio tipsPractice data manipulation with Python and SQLLearn about supervised and unsupervised machine learning modelsMaster deep learning components such as backpropagation and activation functionsEnhance your productivity by implementing code versioning through GitStreamline workflows using shell scripting for increased efficiencyWho this book is forWhether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.
Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data
by Jonas Christensen Nakul Bajaj Manmohan GosadaJoin the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using PythonKey FeaturesGrasp the principles of data centricity and apply them to real-world scenariosGain experience with quality data collection, labeling, and synthetic data creation using PythonDevelop essential skills for building reliable, responsible, and ethical machine learning solutionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets. This book will help you understand what data-centric ML/AI is and how it can help you to realize the potential of ‘small data’. Delving into the building blocks of data-centric ML/AI, you’ll explore the human aspects of data labeling, tackle ambiguity in labeling, and understand the role of synthetic data. From strategies to improve data collection to techniques for refining and augmenting datasets, you’ll learn everything you need to elevate your data-centric practices. Through applied examples and insights for overcoming challenges, you’ll get a roadmap for implementing data-centric ML/AI in diverse applications in Python. By the end of this book, you’ll have developed a profound understanding of data-centric ML/AI and the proficiency to seamlessly integrate common data-centric approaches in the model development lifecycle to unlock the full potential of your machine learning projects by prioritizing data quality and reliability.What you will learnUnderstand the impact of input data quality compared to model selection and tuningRecognize the crucial role of subject-matter experts in effective model developmentImplement data cleaning, labeling, and augmentation best practicesExplore common synthetic data generation techniques and their applicationsApply synthetic data generation techniques using common Python packagesDetect and mitigate bias in a dataset using best-practice techniquesUnderstand the importance of reliability, responsibility, and ethical considerations in ML/AIWho this book is forThis book is for data science professionals and machine learning enthusiasts looking to understand the concept of data-centricity, its benefits over a model-centric approach, and the practical application of a best-practice data-centric approach in their work. This book is also for other data professionals and senior leaders who want to explore the tools and techniques to improve data quality and create opportunities for small data ML/AI in their organizations.
Data Cleaning with Power BI: The definitive guide to transforming dirty data into actionable insights
by Gus FrazerUnlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizationsKey FeaturesImplement best practices for connecting, preparing, cleaning, and analyzing multiple sources of data using Power BIConduct exploratory data analysis (EDA) using DAX, PowerQuery, and the M languageApply your newfound knowledge to tackle common data challenges for visualizations in Power BIPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMicrosoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization. This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You’ll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you’ll explore Power BI’s data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. Finally, you’ll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier. By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools for effective data preparation.What you will learnConnect to data sources using both import and DirectQuery optionsUse the Query Editor to apply data transformationsTransform your data using the M query languageDesign clean and optimized data models by creating relationships and DAX calculationsPerform exploratory data analysis using Power BIAddress the most common data challenges with best practicesExplore the benefits of using OpenAI, ChatGPT, and Microsoft Copilot for simplifying data cleaningWho this book is forIf you’re a data analyst, business intelligence professional, business analyst, data scientist, or anyone who works with data on a regular basis, this book is for you. It’s a useful resource for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI. If you have a basic knowledge of BI tools and concepts, this book will help you advance your skills in Power BI.
Data Structures and Algorithms with the C++ STL: A guide for modern C++ practitioners
by John FarrierExplore the C++ STL with practical guidance on vectors, algorithms, and custom types for intermediate developers, enriched by real-world examples.Key FeaturesMaster the std::vector and understand why it should be your default container of choiceUnderstand each STL algorithm and its practical applicationsGain insights into advanced topics such as exception guarantees and thread safetyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWhile the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL’s components, covering fundamental data structures, advanced algorithms, and concurrency features. Starting with an in-depth analysis of the std::vector, this book highlights its pivotal role in the STL, progressing toward building your proficiency in utilizing vectors, managing memory, and leveraging iterators. The book then advances to STL’s data structures, including sequence containers, associative containers, and unordered containers, simplifying the concepts of container adaptors and views to enhance your knowledge of modern STL programming. Shifting the focus to STL algorithms, you’ll get to grips with sorting, searching, and transformations and develop the skills to implement and modify algorithms with best practices. Advanced sections cover extending the STL with custom types and algorithms, as well as concurrency features, exception safety, and parallel algorithms. By the end of this book, you’ll have transformed into a proficient STL practitioner ready to tackle real-world challenges and build efficient and scalable C++ applications.What you will learnStreamline data handling using the std::vectorMaster advanced usage of STL iteratorsOptimize memory in STL containersImplement custom STL allocatorsApply sorting and searching with STL algorithmsCraft STL-compatible custom typesManage concurrency and ensure thread safety in STLHarness the power of parallel algorithms in STLWho this book is forThis book is for intermediate-level C++ developers looking to enhance their software development skills. Familiarity with basic C++ syntax and object-oriented programming (OOP) as well as some exposure to data structures and algorithms is assumed. Tailored to software engineers, computer science students, and hobbyist programmers, this book delves into C++ STL for practical application, performance enhancement, and efficient coding practices.
Edge Computing with Amazon Web Services: A practical guide to architecting secure edge cloud infrastructure with AWS
by Sean HowardBuild scalable, cost-effective, high-performance, and secure architectures using AWS Outposts, AWS Local Zones, AWS Wavelength, and AWS Snow services along guided by best practices and practical examplesKey FeaturesTake advantage of the opportunities and challenges arising from the exponential growth of connected devicesUse AWS edge compute services to extend your applications to wherever they are neededFollow guided tutorials for building an IIoT gateway and a distributed edge application with AWS servicesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe 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.What you will learnOvercome network challenges faced at the near and far edgeLeverage services in over 450 points of presence at the edge of the AWS global backboneDeploy edge solutions in disconnected scenarios using AWS Snow FamilyBuild multi-access edge (MEC) solutions with 5G and AWS WavelengthReduce latency for your users with AWS Local ZonesConfigure AWS Snowcone as an IIoT gateway with AWS IoT GreengrassExtend your AWS VPC into your on-premise data center with AWS OutpostsDeploy distributed applications for core, near, and far edge cloud servicesWho this book is forThis book is designed for cloud architects, cloud engineers, solutions architects, and IoT architects tasked with building edge compute solutions using AWS. If you want to master the full range of edge computing services offered by AWS, this book is for you. A basic understanding of AWS services and networking is assumed.
Jakarta EE Application Development: Build enterprise applications with Jakarta CDI, RESTful web services, JSON Binding, persistence, and security
by David R. HeffelfingerLearn Jakarta EE by building real-world microservices with code examples, practical exercises, and the latest Jakarta EE featuresKey FeaturesCraft microservices using standard Jakarta EE technologies such as Jakarta RESTful Web Services, JSON Processing, and JSON BindingDesign web-based applications with Jakarta FacesHarness Jakarta EE technologies such as Jakarta Enterprise Beans and Jakarta Messaging to build enterprise applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionJakarta EE stands as a robust standard with multiple implementations, presenting developers with a versatile toolkit for building enterprise applications. However, despite the advantages of enterprise application development, vendor lock-in remains a concern for many developers, limiting flexibility and interoperability across diverse environments. This Jakarta EE application development guide addresses the challenge of vendor lock-in by offering comprehensive coverage of the major Jakarta EE APIs and goes beyond the basics to help you develop applications deployable on any Jakarta EE compliant runtime. This book introduces you to JSON Processing and JSON Binding and shows you how the Model API and the Streaming API are used to process JSON data. You’ll then explore additional Jakarta EE APIs, such as WebSocket and Messaging, for loosely coupled, asynchronous communication and discover ways to secure applications with the Jakarta EE Security API. Finally, you'll learn about Jakarta RESTful web service development and techniques to develop cloud-ready microservices in Jakarta EE. By the end of this book, you'll have developed the skills to craft secure, scalable, and cloud-native microservices that solve modern enterprise challenges.What you will learnDesign microservices architectures with a clear separation of concernsUnderstand the contexts and dependency injection (CDI) specification to develop Java EE applicationsUse Jakarta Faces to create interactive web applications using component-based developmentUnderstand the steps involved in handling JSON data with Jakarta JSON Processing and BindingDesign secure RESTful web services using server-sent events (SSE) for real-time data updatesSecure your applications with the Jakarta Security APIBuild message-driven applications with Jakarta MessagingWho this book is forThis book is for Java developers looking to learn Jakarta EE and expand their skill set. You’ll also find this book useful if you are familiar with Java EE and want to stay abreast of the latest version of the Jakarta EE specification. Knowledge of core Java concepts such as OOP, data types, control flow, and basic collections will be beneficial.
Kibana 8.x – A Quick Start Guide to Data Analysis: Learn about data exploration, visualization, and dashboard building with Kibana
by Krishna ShahUncover valuable business insights by leveraging the power of Kibana to navigate and interpret datasets for improved decision makingKey FeaturesGain profound understanding of the end-to-end workings of KibanaExplore the powerful administration features in Kibana 8.x for managing and supporting data ingestion pipelinesBuild your own analytics and visualization solution from scratchPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnleash the full potential of Kibana—an indispensable tool for data analysts to seamlessly explore vast datasets, uncover key insights, identify trends and anomalies, and share results. This book guides you through its user-friendly interface, interactive visualizations, and robust features, including real-time data monitoring and advanced analytics, showing you how Kibana revolutionizes your approach to navigating and analyzing complex datasets. Starting with the foundational steps of installing, configuring, and running Kibana, this book progresses systematically to explain the search and data visualization capabilities for data stored in the Elasticsearch cluster. You’ll then delve into the practical details of creating data views and optimizing spaces to better organize the analysis environment. As you advance, you'll get to grips with using the discover interface and learn how to build different types of extensive visualizations using Lens. By the end of this book, you’ll have a complete understanding of how Kibana works, helping you leverage its capabilities to build an analytics and visualization solution from scratch for your data-driven use case.What you will learnCreate visualizations using the Visualize interface in KibanaBuild shareable search dashboards to drill down and perform advanced analysis and reportingSearch data to make correlations and identify and explain trendsEmbed dashboards, share links, and export PNG, PDF, or CSV files and send as an attachmentConfigure and tweak advanced settings to best manage saved objects in KibanaImplement several types of aggregations working behind the scenes of extensive visualizationsWho this book is forIf you’re a data analyst or a data engineer, this book is for you. It’s also a useful resource to database administrators, analysts, and business users looking to build a foundation in creating intuitive dashboards using Kibana 8.x and data analysis techniques for improved decision making. Foundational knowledge of Elasticsearch fundamentals will provide an added advantage.
Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligence
by Arshad Ali Bradley SchachtHarness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructionsKey FeaturesExplore Microsoft Fabric and its features through real-world examplesBuild data analytics solutions for lakehouses, data warehouses, real-time analytics, and data scienceMonitor, manage, and administer your Fabric platform and analytics system to ensure flexibility, performance, security, and controlPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape. In this book, you'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You’ll learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real-time analytics, and implement machine learning and AI models. As you progress, you’ll build expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. The book also guides you step by step through enhancing security and governance practices in Microsoft Fabric and implementing CI/CD workflows with Azure DevOps or GitHub. Finally, you’ll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey. By the end of this book, you’ll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric.What you will learnGet acquainted with the different services available in Microsoft FabricBuild end-to-end data analytics solution to scale and manage high performanceIntegrate data from different types of data sourcesApply transformation with Spark, Notebook, and T-SQLUnderstand and implement real-time stream processing and data science capabilitiesPerform end-to-end processes for building data analytics solutions in the AI eraDrive insights by leveraging Power BI for reporting and visualizationImprove productivity with AI assistance and Copilot integrationWho this book is forThis book is for data professionals, including data analysts, data engineers, data scientists, data warehouse developers, ETL developers, business analysts, AI/ML professionals, software developers, and Chief Data Officers who want to build a future-ready data analytics solution for long-term success in the AI era. For PySpark and SQL students entering the data analytics field, this book offers a broad foundation for developing the skills to build end-to-end analytics systems for various use cases. Basic knowledge of SQL and Spark is assumed.
Learn T-SQL Querying: A guide to developing efficient and elegant T-SQL code
by Pedro Lopes Pam LahoudTroubleshoot query performance issues, identify anti-patterns in your code, and write efficient T-SQL queries with this guide for T-SQL developersKey FeaturesA definitive guide to mastering the techniques of writing efficient T-SQL codeLearn query optimization fundamentals, query analysis, and how query structure impacts performanceDiscover insightful solutions to detect, analyze, and tune query performance issuesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionData professionals seeking to excel in Transact-SQL (T-SQL) for Microsoft SQL Server and Azure SQL Database often lack comprehensive resources. This updated second edition of Learn T-SQL Querying focuses on indexing queries and crafting elegant T-SQL code, catering to all data professionals seeking mastery in modern SQL Server versions and Azure SQL Database. Starting with query processing fundamentals, this book lays a solid foundation for writing performant T-SQL queries. You’ll explore the mechanics of the Query Optimizer and Query Execution Plans, learning how to analyze execution plans for insights into current performance and scalability. Through dynamic management views (DMVs) and dynamic management functions (DMFs), you’ll build diagnostic queries. This book thoroughly covers indexing for T-SQL performance and provides insights into SQL Server’s built-in tools for expedited resolution of query performance and scalability issues. Further, hands-on examples will guide you through implementing features such as avoiding UDF pitfalls, understanding predicate SARGability, Query Store, and Query Tuning Assistant. By the end of this book, you‘ll have developed the ability to identify query performance bottlenecks, recognize anti-patterns, and skillfully avoid such pitfalls.What you will learnIdentify opportunities to write well-formed T-SQL statementsFamiliarize yourself with the Cardinality Estimator for query optimizationCreate efficient indexes for your existing workloadsImplement best practices for T-SQL queryingExplore Query Execution Dynamic Management ViewsUtilize the latest performance optimization features in SQL Server 2017, 2019, and 2022Safeguard query performance during upgrades to newer versions of SQL ServerWho this book is forThis book is for database administrators, database developers, data analysts, data scientists and T-SQL practitioners who want to master the art of writing efficient T-SQL code and troubleshooting query performance issues through practical examples. A basic understanding of T-SQL syntax, writing queries in SQL Server, and using the SQL Server Management Studio tool will be helpful to get started.
Mastering the Java Virtual Machine: An in-depth guide to JVM internals and performance optimization
by Otavio SantanaDelve into JVM inner workings and explore internals, memory management, and performance optimizationKey FeaturesUncover the intricacies of JVM, from class loading to garbage collection, and moreMaster JVM memory management for efficient resource use and reduced overheadApply JVM knowledge through case studies, reinforcing your understanding of internalsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMastering the Java Virtual Machine is a comprehensive guide that will take you into the heart of Java programming, guiding you through the intricate workings of the Java Virtual Machine (JVM) and equipping you with essential skills to become a proficient Java developer. You’ll start by understanding the JVM, exploring its architecture and how it executes Java code. Through detailed explanations and real-world examples, you’ll gain a deep understanding of JVM internals, enabling you to write efficient and optimized Java applications. As you progress, you’ll delve into memory management and execution, unraveling the complexities of heap and stack management, garbage collection, and memory profiling. You'll learn how memory is allocated and reclaimed in the JVM, as well as how to optimize memory usage and identify performance bottlenecks in your applications. With this knowledge, you’ll be able to create Java programs that are not only robust but also highly performant. By the end of this book, you’ll have the skills needed to excel in Java programming, writing efficient, maintainable code.What you will learnUnderstand JVM architecture and bytecode executionExplore memory management and optimize memory usageCompare and evaluate alternative JVMs like GraalVMMaster reflection for dynamic behavior in Java applicationsUtilize Java annotation processors for code generationGet to grips with reactive programming principles for scalable applicationsWho this book is forThis book is for Java developers seeking to deepen their expertise in the Java Virtual Machine (JVM) and optimize Java applications for peak performance. It caters to both intermediate and seasoned professionals who want to explore specific aspects such as JVM internals, memory management, threading, security, and performance tuning.
Microsoft Unified XDR and SIEM Solution Handbook: Modernize and build a unified SOC platform for future-proof security
by Raghu Boddu Sami LamppuA practical guide to deploying, managing, and leveraging the power of Microsoft's unified security solutionKey FeaturesLearn how to leverage Microsoft's XDR and SIEM for long-term resilienceExplore ways to elevate your security posture using Microsoft Defender tools such as MDI, MDE, MDO, MDA, and MDCDiscover strategies for proactive threat hunting and rapid incident responsePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionTired of dealing with fragmented security tools and navigating endless threat escalations? Take charge of your cyber defenses with the power of Microsoft's unified XDR and SIEM solution. This comprehensive guide offers an actionable roadmap to implementing, managing, and leveraging the full potential of the powerful unified XDR + SIEM solution, starting with an overview of Zero Trust principles and the necessity of XDR + SIEM solutions in modern cybersecurity. From understanding concepts like EDR, MDR, and NDR and the benefits of the unified XDR + SIEM solution for SOC modernization to threat scenarios and response, you’ll gain real-world insights and strategies for addressing security vulnerabilities. Additionally, the book will show you how to enhance Secure Score, outline implementation strategies and best practices, and emphasize the value of managed XDR and SIEM solutions. That’s not all; you’ll also find resources for staying updated in the dynamic cybersecurity landscape. By the end of this insightful guide, you'll have a comprehensive understanding of XDR, SIEM, and Microsoft's unified solution to elevate your overall security posture and protect your organization more effectively.What you will learnOptimize your security posture by mastering Microsoft's robust and unified solutionUnderstand the synergy between Microsoft Defender's integrated tools and Sentinel SIEM and SOARExplore practical use cases and case studies to improve your security postureSee how Microsoft's XDR and SIEM proactively disrupt attacks, with examplesImplement XDR and SIEM, incorporating assessments and best practicesDiscover the benefits of managed XDR and SOC services for enhanced protectionWho this book is forThis comprehensive guide is your key to unlocking the power of Microsoft's unified XDR and SIEM offering. Whether you're a cybersecurity pro, incident responder, SOC analyst, or simply curious about these technologies, this book has you covered. CISOs, IT leaders, and security professionals will gain actionable insights to evaluate and optimize their security architecture with Microsoft's integrated solution. This book will also assist modernization-minded organizations to maximize existing licenses for a more robust security posture.
Multi-Cloud Handbook for Developers: Learn how to design and manage cloud-native applications in AWS, Azure, GCP, and more
by Subash Natarajan Jeveen JacobExplore proven techniques and best practices for designing, deploying, and managing cloud-native applications in multi-cloud environments with the help of real-world examples, success stories, and emerging technologiesKey FeaturesDiscover optimal solutions in multi-cloud environments using AWS, Azure, and GCP tools and technologiesExcel in designing, developing, and securing cloud-native apps with Docker, Kubernetes, and IstioLearn design patterns, cost optimization, best practices, and pitfalls to avoid in multi-cloud appsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnleash the power of cloud computing with Multi-Cloud Handbook for Developers, your guide to mastering the nuances of cloud-native and multi-cloud, covering practical strategies for design, development, and management. Explore the essential concepts, challenges, and methodologies critical for navigating the complex landscape of modern cloud computing. Using core architectural and design principles (such as microservices and 12-factor architecture) and advanced strategies (such as distributed application design patterns, domain-driven design (DDD), and API-first strategies), you’ll learn how to build portable and efficient apps across various cloud platforms. You’ll understand how to leverage Infrastructure as Code (IaC), continuous integration and deployment (CI/CD), GitOps, and DevOps practices, along with containerization and orchestration techniques using Docker and Kubernetes. You’ll also get to grips with data, security, compliance, and cloud cost management strategies in multi-cloud environments. With real-world case studies, best practices, and insights into future trends, this book will equip you with the skills to develop, manage, troubleshoot, and innovate cloud-native applications across diverse cloud platforms, positioning you at the forefront of the cloud computing revolution.What you will learnUnderstand the core structures and implications of cloud-native and multi-cloud appsExplore key principles and patterns to build agile, scalable, and future-proof appsMaster cloud-native essentials: service mesh, DDD, and API-centric approachesImplement deployment pipelines with advanced IaC, CI/CD, DevSecOps, and GitOps techniquesManage and monitor data, security, compliance, and identity access in multi-cloud scenariosOptimize your cloud costs with shift-left and FinOps practicesGet ready for the future of cloud-native and multi-cloud technologyWho this book is forIdeal for cloud-native and cloud developers, platform engineers, software architects, and IT professionals focused on building and managing cloud-native applications in multi-cloud environments, this book is an indispensable guide for students and researchers seeking insights into cloud-native concepts and multi-cloud architectures. A basic understanding of cloud computing, contemporary software development, system design, and cloud platforms such as AWS, Azure, and GCP, will prove useful.
PowerShell 7 Workshop: Learn how to program with PowerShell 7 on Windows, Linux, and the Raspberry Pi
by Nick ParlowLeverage PowerShell 7 to write code on Windows, Linux, and Raspberry Pi to accomplish real-world tasks with this practical guideKey FeaturesMaster the art of coding with Microsoft’s free, open-source cross-platform languageUnderstand essential programming concepts such as loops and objects through practical examplesPractice using PowerShell 7 with websites, APIs, and physical computing devices like Raspberry PiPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover the capabilities of PowerShell 7 for your everyday tasks with this carefully paced tutorial that will help you master this versatile programming language. The first set of chapters will show you where to find and how to install the latest version of PowerShell, providing insights into the distinctive features that set PowerShell apart from other languages. You’ll then learn essential programming concepts such as variables and control flow, progressing to their applications. As you advance, you’ll work with files and APIs, writing scripts, functions, and modules. You’ll also gain proficiency in securing your PowerShell environment before venturing into different operating systems. Enriched with detailed practical examples tailored for Windows, Linux, macOS, and Raspberry Pi, each chapter weaves real-world scenarios to ignite your imagination and cement the principles you learn. You’ll be able to reinforce your understanding through self-assessment questions and delve deeper into the principles using comprehensive reading lists. By the end of this book, you’ll have the confidence to use PowerShell for physical computing and writing scripts for Windows administration.What you will learnGrasp the distinctive object-oriented nature of PowerShell 7Explore the practical applications of standard programming concepts, such as control flowFind out how to interact with websites and APIsImplement best practices to secure your PowerShell environment and write secure codeGet to grips with writing scripts, functions, and modulesDevelop the skills to troubleshoot your codeDeploy PowerShell on various operating systemsWho this book is forThis book uses everyday language to explain concepts and has simple examples to explain complex principles. It is suitable for early careers IT professionals, architects, system engineers, secondary school pupils and university students, who are interested in learning this powerful language.
WordPress Styling with Blocks, Patterns, Templates, and Themes: Explore WordPress styling with step-by-step guidance, practical examples, and tips
by Tammie ListerEmbrace WordPress to unlock creative possibilities, discovering new design tools and patterns that will elevate your website's aestheticKey FeaturesExplore WordPress pattern directory for free patterns and create captivating designs with less codingLearn to use design tools effectively, stay updated on their evolution, and find tools for third-party blocksMaster block styles by understanding their concepts, applications, and seamless theme integrationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionExperience a revolutionary WordPress styling transformation with WordPress Styling with Blocks, Patterns, Templates, and Themes by uncovering a wealth of features that redefine the future of WordPress. This guide introduces you to full-site editing and block design tools that enable you to shape the overall aesthetics and layout of your dream website with unprecedented ease. Get ready to harness the power of diverse cutting-edge features as you delve into this WordPress book, focusing on the Gutenberg editing experience. Guided by examples that demonstrate effortless customization entirely suited to your preferences, you’ll master the design tools, patterns, and full site editing capabilities to shape impactful websites that mirror your distinct vision and creativity. As you immerse yourself in the core of WordPress styling, you’ll understand the rationale and terminology underpinning each element and how to use it to its full potential. By the end of this book, you'll be equipped to build your dream website, reflecting your distinctive style.What you will learnAcquire skills in block recognition, CSS-free customization, and identifying supported block design toolsRecognize the significance of global styles in modern WordPress themesLocate sources for block themes and kickstart personal creationsDiscover, create, and share editor patterns and integrate them into themesComprehend the WordPress Pattern Directory, locating and adding patternsMaster the effective use, availability, and implementation of website design toolsWho this book is forThis book is your go-to resource for exploring and unleashing your creative potential using the latest styling features available in WordPress. Whether you’re a non-coder, a hobbyist, or a seasoned WordPress user, this guide will help you discover the full range of new options. With no prior knowledge assumed, each step is carefully explained to ensure that you make the most of the latest version. Starting with a no-code approach, the book progressively introduces some coding for those interested in taking their learning further.
VMware Cloud on AWS Blueprint: Design, automate, and migrate VMware workloads on AWS global infrastructure
by Oleg Ulyanov Michael Schwartzman Harsha SankuExplore use cases and best practices to seamlessly migrate and scale legacy enterprise-grade applications running on on-premises vSphere environments to VMware Cloud SDDCs running on AWS infrastructureKey FeaturesUnderstand data center extension, migration, disaster recovery, and app modernization through a variety of use casesBecome an expert at configuring, automating, and troubleshooting VMC on AWS SDDCImplement design considerations, best practices, and onboarding preflight checklist for optimal performance on VMC on AWSPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIf you’re looking to effortlessly transition from on-premises VMware vSphere environments or capital expenditure (CAPEX) to an agile operational expenditure (OPEX) model, trust the VMware Cloud (VMC) on AWS platform for swift re-platforming of legacy applications into cloud-native framework. This comprehensive guide addresses hybrid cloud challenges, offering detailed solutions within the VMware Cloud on AWS ecosystem. Covering the foundational architecture, software-defined data center (SDDC) components of VMware Cloud on AWS, network and security configurations, and AWS service integrations, this book lays the foundation for you to advance to vCenter management, vSAN storage policies, NSX architecture, compute policies, SDDC console management, and the EDRS mechanism for cluster scaling. You’ll also explore integrated services such as VMware HCX for migration, VMware Aria suite, Tanzu Managed Kubernetes, and disaster recovery. Further, the book takes you through VMware Cloud APIs and guides you in managing workloads with VMware Cloud on AWS Outposts. With the help of practical insights, configuration tips, and best practices, you’ll unlock the full potential of VMC on AWS. By the end of this book, you’ll be equipped to successfully architect and manage VMware Cloud on AWS SDDCs, handling day-to-day operations expertly.What you will learnExamine the foundational architecture components of VMware Cloud on AWS, including vSphere, vSAN, and NSXExplore the various integrated services available within VMware Cloud on AWSDelve into VMware Cloud on AWS SDDC, vCenter, and vSAN optimizationsBuild applications and apply best practices within the VMware Cloud on AWS to manage day-to-day operationsStreamline infrastructure management for VMware Cloud on AWS with Infrastructure as Code (IaC)Extend cloud capabilities to on-premises environments using VMware Cloud on AWS OutpostsWho this book is forThe book is intended for cloud and solutions architects, DevOps engineers, site reliability engineers (SREs), system and network admins, and cloud engineers with experience in on-premises VMware or AWS administration, facilitating the seamless integration of VMware cloud technologies. Prior understanding of cloud computing, virtualization principles, VMware vSphere administration, vSAN, and NSX along with AWS cloud basics will be helpful.
Efficient Cloud FinOps: A practical guide to cloud financial management and optimization with AWS, Azure, and GCP
by Alfonso San Sánchez Danny Obando GarcíaExplore cloud economics and cost optimization for Azure, AWS, and GCP with this practical guide covering methods, strategies, best practices, and real-world examples, bridging theory and applicationKey FeaturesLearn cost optimization best practices on different cloud services using FinOps principles and examplesGain hands-on expertise in improving cost estimations and devising cost reduction plans for Azure, AWS, and GCPAnalyze case studies that illustrate the application of FinOps in diverse real-world scenariosPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn response to the escalating challenges of cloud adoption, where balancing costs and maximizing cloud values is paramount, FinOps practices have emerged as the cornerstone of fi nancial optimization. This book serves as your comprehensive guide to understanding how FinOps is implemented in organizations worldwide through team collaboration and proper cloud governance. Presenting FinOps from a practical point of view, covering the three phases—inform, optimize, and operate—this book demonstrates an end-to-end methodology for optimizing costs and performing financial management in the cloud. You’ll learn how to design KPIs and dashboards for judicious cost allocation, covering key features of cloud services such as reserved instances, rightsizing, scaling, and automation for cost optimization. This book further simplifi es architectural concepts and best practices, enabling you to design superior and more optimized solutions. Finally, you’ll discover potential synergies and future challenges, from the integration of artifi cial intelligence to cloud sustainability considerations, to prepare for the future of cloud FinOps. By the end of this book, you’ll have built the expertise to seamlessly implement FinOps practices across major public clouds, armed with insights and ideas to propel your organization toward business growth.What you will learnExamine challenges in cloud adoption and cost optimizationGain insight into the integration of FinOps within organizationsExplore the synergies between FinOps and DevOps, IaC, and change managementLeverage tools such as Azure Advisor, AWS CUDOS, and GCP cost reportsEstimate and optimize costs using cloud services key features and best practicesImplement cost dashboards and reports to improve visibility and controlUnderstand FinOps roles and processes crucial for organizational successApply FinOps through real-life examples and multicloud architecturesWho this book is forThis book is for cloud engineers, cloud and solutions architects, as well as DevOps and SysOps engineers interested in learning more about FinOps and cloud financial management for efficiently architecting, designing, and operating software solutions and infrastructure using the public clouds. Additionally, team leads, project managers, and financial teams aiming to optimize cloud resources will also find this book useful. Prior knowledge of cloud computing and major public clouds is assumed.
Expert Delphi: Robust and fast cross-platform application development
by Marco Cantù Paweł GłowackiHarness the power of the Delphi IDE and programming language, coupled with the FireMonkey library, to develop modern desktop and mobile apps with high speed and natively compiled efficiency from a single source code baseKey FeaturesUnderstand the fundamentals of Delphi for building multi-device applicationsBuild desktop and mobile apps with the help of extensive examples that guide you through each stepApply advanced features, such as parallel programming and multi-tier full-stack solutions, based on web connectivityPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMaster Delphi, the most powerful Object Pascal IDE and versatile component library for cross-platform native app development, by harnessing its capabilities for building natively compiled, blazingly fast apps for all major platforms, including Android, iOS, Windows, Mac, and Linux. Expert Delphi begins with a quick overview of Delphi, helping you get acquainted with the IDE and the Object Pascal language. The book then quickly progresses to more advanced concepts, followed by the architecture of applications and the FireMonkey library, guiding you through building server-side services, parallel programming, and database access. Toward the end, you’ll learn how to integrate your app with various web services and deploy them effectively. By the end of this book, you’ll be adept at building powerful, cross-platform, native apps for iOS, Android, Windows, and macOS—all from a single code base.What you will learnConfigure the Delphi IDE for mobile development, use Object Pascal, and build appsManage core Delphi technologies, including parallel programming, JSON, XML, and FireMonkeyExplore FireMonkey 3D features, UI styles, and mobile OS integration to build powerful appsExtend your apps to desktop using the same source code and set of technologies to expand opportunitiesBuild web services integrate them with your UI for a holistic developer experienceDeploy apps to devices and online stores, streamlining distribution and facilitating monetizationWho this book is forIf you’re a Delphi developer exclusively versed in Windows applications and aspire to venture into mobile platforms, this book will pave the way for you to become an expert in this space. It serves as a guide for mobile developers or developers in general, proficient in other programming languages and frameworks, to harness the productivity that Delphi and FireMonkey offer.
Cloud Forensics Demystified: Decoding cloud investigation complexities for digital forensic professionals
by Ganesh Ramakrishnan Mansoor HaqaneeEnhance your skills as a cloud investigator to adeptly respond to cloud incidents by combining traditional forensic techniques with innovative approachesKey FeaturesUncover the steps involved in cloud forensic investigations for M365 and Google WorkspaceExplore tools and logs available within AWS, Azure, and Google for cloud investigationsLearn how to investigate containerized services such as Kubernetes and DockerPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs organizations embrace cloud-centric environments, it becomes imperative for security professionals to master the skills of effective cloud investigation. Cloud Forensics Demystified addresses this pressing need, explaining how to use cloud-native tools and logs together with traditional digital forensic techniques for a thorough cloud investigation. The book begins by giving you an overview of cloud services, followed by a detailed exploration of the tools and techniques used to investigate popular cloud platforms such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP). Progressing through the chapters, you’ll learn how to investigate Microsoft 365, Google Workspace, and containerized environments such as Kubernetes. Throughout, the chapters emphasize the significance of the cloud, explaining which tools and logs need to be enabled for investigative purposes and demonstrating how to integrate them with traditional digital forensic tools and techniques to respond to cloud security incidents. By the end of this book, you’ll be well-equipped to handle security breaches in cloud-based environments and have a comprehensive understanding of the essential cloud-based logs vital to your investigations. This knowledge will enable you to swiftly acquire and scrutinize artifacts of interest in cloud security incidents. What you will learnExplore the essential tools and logs for your cloud investigationMaster the overall incident response process and approachFamiliarize yourself with the MITRE ATT&CK framework for the cloudGet to grips with live forensic analysis and threat hunting in the cloudLearn about cloud evidence acquisition for offline analysisAnalyze compromised Kubernetes containersEmploy automated tools to collect logs from M365Who this book is forThis book is for cybersecurity professionals, incident responders, and IT professionals adapting to the paradigm shift toward cloud-centric environments. Anyone seeking a comprehensive guide to investigating security incidents in popular cloud platforms such as AWS, Azure, and GCP, as well as Microsoft 365, Google Workspace, and containerized environments like Kubernetes will find this book useful. Whether you're a seasoned professional or a newcomer to cloud security, this book offers insights and practical knowledge to enable you to handle and secure cloud-based infrastructure.
Architectural Visualization in Unreal Engine 5: Create photorealistic architectural interior renderings in UE5
by Ludovico PalmeriUnleash your potential with Unreal Engine 5, mastering architectural visualization to bring your designs to life with stunning, interactive real-time visualizationsKey FeaturesSet up your Unreal project and organize your assets to create an effective workflowLearn best practices for creating realistic and immersive 3D environments using UE5Explore Unreal's advanced lighting and material tools to produce photorealistic architectural visualizationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIf you excel at creating beautiful architectural renderings offline, but face challenges replicating the same quality in real time, this book will show you how the versatile Unreal Engine 5 enables such transformations effortlessly. While UE5 is widely popular, existing online training resources can be overwhelming and often lack a focus on Architectural visualization. This comprehensive guide is designed for individuals managing tight deadlines, striving for photorealism, and handling typical client revisions inherent to architectural visualization. The book starts with an introduction to UE5 and its capabilities, as well as the basic concepts and principles of architectural visualization. You’ll then progress to essential topics such as setting up a project, modeling and texturing 3D assets, lighting and materials, and post-processing effects. Along the way, you’ll find practical tips, best practices, and hands-on exercises to develop your skills by applying what you learn. By the end of this UE5 book, you'll have acquired the skills to confidently create high-quality architectural visualizations in Unreal Engine and become proficient in building an architectural interior scene in UE5 to produce professional still images.What you will learnImport and organize assets and prepare a project structureEnsure a smooth architectural visualization workflow to quickly iterate your projectExperiment with different types of lighting techniques to create photorealistic scenariosCreate and tweak materials using the material editor, and apply them to models in the sceneUse post-processing features to achieve cinematic-quality visualsDiscover how to use blueprints to create interactive elementsBuild captivating animations with the sequencer toolOptimize your scene for smooth real-time performanceWho this book is forWhether you’re a CG-ArchViz artist, architect, or an environment artist looking to take your real-time visualization skills to the next level with Unreal Engine 5, this book is for you. Ideal for solidifying your understanding of architectural visualization, this book is perfect for you if you have some experience modeling simple architectural scenes in your software of choice. Familiarity with the Unreal Engine’s interface and basic operations is assumed.
Data Stewardship in Action: A roadmap to data value realization and measurable business outcomes
by Pui Shing LeeTake your organization's data maturity to the next level by operationalizing data governanceKey FeaturesDevelop the mindset and skills essential for successful data stewardshipApply practical advice and industry best practices, spanning data governance, quality management, and compliance, to enhance data stewardshipFollow a step-by-step program to develop a data operating model and implement data stewardship effectivelyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the competitive data-centric world, mastering data stewardship is not just a requirement—it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency. From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You’ll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You’ll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you’ll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship. By the end of this book, you’ll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.What you will learnEnhance your job prospects by understanding the data stewardship field, roles, and responsibilitiesDiscover how to develop a data strategy and translate it into a functional data operating modelDevelop an effective and efficient data stewardship programGain practical experience of establishing a data stewardship initiativeImplement purposeful governance with measurable ROIPrioritize data use cases with the value and effort matrixWho this book is forThis book is for professionals working in the field of data management, including business analysts, data scientists, and data engineers looking to gain a deeper understanding of the data steward role. Senior executives who want to (re)establish the data governance body in their organizations will find this resource invaluable. While accessible to both beginners and professionals, basic knowledge of data management concepts, such as data modeling, data warehousing, and data quality, is a must to get started.
Internet of Things from Scratch: Build IoT solutions for Industry 4.0 with ESP32, Raspberry Pi, and AWS
by Renaldi GondosubrotoKickstart your IoT design and implementation journey with this comprehensive book, covering basics to advanced concepts through practical examples and industry-standard practicesKey FeaturesMaster the different components that make up an IoT system to design and implement solutionsUnlock the powerful capabilities of cloud computing that enhance the efficiency of your IoT deploymentsIntegrate cutting-edge technologies, such as with generative AI, into your IoT projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDevelop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively. Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You’ll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You’ll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you’ll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You’ll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities. By the end of this IoT book, you’ll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.What you will learnGain a holistic understanding of IoT basics through real-life use casesExplore communication protocols and technologies integral to IoTUse AWS to build resilient, low-latency networksConstruct complex IoT networks, building upon foundational principlesIntegrate data analytics workloads and generative AI seamlessly with IoTUnderstand the security threat landscape of IoT and how to mitigate these risksDevelop industry-grade projects within the open source IoT communityEmbrace a futuristic perspective of IoT by understanding both risks and rewardsWho this book is forThe book is for novice electronics engineers, embedded systems specialists, and IoT developers as well as intermediate practitioners looking to advance in the world of industry-based IoT applications. While no prior knowledge of IoT is assumed, familiarity with at least one programming language is recommended to get the most out of this book.