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Building games with Unity is hard enough without having to stand up and go and make a coffee each time you want to just build your project or find out days/weeks down the line that some change you made while building your dream has incurred a debt that means your project cannot be built for one of your target platforms without a lot of rework.Through automation, many of these hardships can be detected early and free up time and stress by monitoring your project as it is being created, identify risks and issues as you write the code, and free up your machine while lengthy build processes are running. The change might be hard, but once setup, it will give you peace of mind that everything you create will run, updates will be automatically managed, and your players are less likely to be drafting one-star reviews on your next publication.What You Will Learn¿ Build the automation of your dreams to accelerate your project¿Get detailed examples for generating workflows tailored to your needs¿ Learn to save time and money by having a backend work for youWho Is This Book ForDevelopers having experience with Unity and interested in learning about (with no foreknowledge in) automation will greatly benefit from this book.

Gain exclusive access to the secrets to building an enterprise AI start-up. AI innovation helps with every aspect of the business, from the supply chain, marketing, and advertising, customer service, risk management, operations to security. Industries from different verticals have been adopting AI and get real business values out of it. This book guides you through each step, from defining the business need and business model, all the way to registering IP and calculating your AI start-up valuation. You see how to perform market and technology validation, perform lean AI R&D, design AI architecture, AI product development and operationalization. The book also cover building and managing an AI team, along with attracting and keeping business and developer users,Building an Enterprise AI start-up is hard because Enterprise AI is an effort to build applications to mimic human intelligence to solve business problems. Hence it has a different challenge from building traditional non-AI applications, such as scouting, recruiting and managing AI talents; designing the most cost-efficient and scalable Enterprise AI; or establishing the best practice to operationalize AI in productionAs we are in the dawn of the AI-first product wave, AI-powered products for enterprises will be created for many years to come and AI Startup Strategy is the one-stop guide for it.What You'll LearnMatch customer¿s expectation VS technical feasibilityJustify business values and ROI for customersReview the best business models for high valuation enterprise AI start-upsDesign an AI product that gives a satisfactory experience for the userRegister and value AI IP Who This Book is For Startup Founders, Product Managers, Software Architects/Lead Engineers, Executives

As a society, we¿re in a constant struggle to control uncertainty and predict the unknown. Quite often, we think of scientific fields and theories as being separate from each other. But a more careful investigation can uncover the common thread that ties many of those together. From ChatGPT, to Amazon¿s Alexa, to Apple¿s Siri, data science, and computer science have become part of our lives. In the meantime, the demand for data scientists has grown, as the field has been increasingly called the ¿sexiest profession.¿ This book attempts to specifically cover this gap in literature between data science, machine learning and artificial intelligence (AI). How was uncertainty approached historically, and how has it evolved since? What schools of thought exist in philosophy, mathematics, and engineering, and what role did they play in the development of data science? It uses the history of data science as a stepping stone to explain what the future might hold. Predicting the Unknown provides the framework that will help you understand where AI is headed, and how to best prepare for the world that¿s coming in the next few years, both as a society and within a business. It is not technical and avoids equations or technical explanations, yet is written for the intellectually curious reader, and the technical expert interested in the historical details that can help contextualize how we got here. What Yoüll LearnExplore the bigger picture of data science and see how to best anticipate future changes in that fieldUnderstand machine learning, AI, and data scienceExamine data science and AI through engaging historical and human-centric narratives Who is This Book ForBusiness leaders and technology enthusiasts who are trying to understand how to think about data science and AI

Equip yourself with tools to approach digital transformation within your organization successfully. Today, over 80% of digital transformation engagements fail to reach their objectives (as reported through a survey by Couchbase). The challenge to overcome is that the pace of change in digital has left business users falling behind. Geared towards non-technical professionals, this book seeks to get executives on track to lead this innovation wave.Data as the prime lever in this innovation wave has accelerated the pace of change from earlier innovation waves by 25 years. Companies are finding it hard to adapt as their internal processes do not allow such rapid changes. Companies are stuck with outdated tools to manage DX projects. This leads to outsourcing the responsibility for DX to IT teams and outside system developers and causing great problems. Toolsets from data visualization, simulated prototyping, video editing and Whiteboarding will be introduced and simplified to show you can use simplify them to deliver on your business goals. Case studies that feature the digital transformation journeys of companies like Hertz, BBC, Domino's Pizza and more will be explored. What You'll LearnDerive business outcomes and KPIs to successfully direct digital transformation InitiativesWork with new toolsets that business owners can use to effectively collaborate with data scientists, data analysts and data engineersRecognize valuable data and align data monetization with business goalsWho This Book is ForNon-technical business owners and professionals

Learn the basics of writing SQL scripts. Using Standard SQL as the starting point, this book teaches writing SQL in various popular dialects, including PostgreSQL, MySQL/MariaDB, Microsoft SQL Server, Oracle, and SQLite.The book starts with a general introduction to writing SQL and covers the basic concepts. Author Mark Simon then covers database principles, and how database tables are designed. He teaches you how to filter data using the WHERE clause, and you will work with NULL, numbers, dates, and strings. You will also understand sorting results using the ORDER BY clause, sorting by calculated columns, and limiting the number of results. By the end of the book, you will know how to insert and update data, and summarize data with aggregate functions and groups. Three appendices cover differences between SQL dialects, working with tables, and a crash course in PDO.What You Will LearnFilter, sort, andcalculate dataSummarize data with aggregate functionsModify data with insert, update, and delete statementsStudy design principles in developing a databaseWho This Book Is ForDevelopers and analysts working with SQL, as well as web developers who want a stronger understanding of working with databases

This book presents the process and framework you need to transform aspects of our world into data that can be collected, analyzed, and used to make decisions. You will understand the technologies used to gather and process data from many sources, and you will learn how to analyze data with AI and ML models.Datafication is becoming increasingly prevalent in many areas of our lives, from business to education and healthcare. It has the potential to improve decision-making by providing insights into patterns, trends, and correlation between seemingly unconnected pieces of data. This book explains the evolution, principles, and patterns of datafication used in our day-to-day activities. It covers how to collect data from a variety of sources, using technologies such as edge, streaming techniques, REST, and frameworks, as well as data cleansing and data lineage. A data analysis framework is provided to guide you in designing and developing AI and ML projects, including the details of sentiment and behavioral analytics.Introduction to Datafication teaches you how to engineer AI and ML projects by using various methodologies, covers the security mechanisms to be applied for datafication, and shows you how to govern the datafication process with a well-defined governance framework.What You Will LearnUnderstand the principles and patterns to be adopted for dataficationGain techniques for sourcing and mining data, and for sharing data with a data pipelineLeverage the AI and ML algorithms most suitable for dataficationUnderstand the data analysis framework used in every AI and ML projectMaster the details of sentiment and behavioral analytics through practical examplesUtilize development methodologies for datafication engineering and the related security and governance framework Who This Book Is ForStudents, data scientists, data analysts, and AI and ML engineers

This book provides Kafka administrators, site reliability engineers, and DataOps and DevOps practitioners with a list of real production issues that can occur in Kafka clusters and how to solve them. The production issues covered are assembled into a comprehensive troubleshooting guide for those engineers who are responsible for the stability and performance of Kafka clusters in production, whether those clusters are deployed in the cloud or on-premises. This book teaches you how to detect and troubleshoot the issues, and eventually how to prevent them.Kafka stability is hard to achieve, especially in high throughput environments, and the purpose of this book is not only to make troubleshooting easier, but also to prevent production issues from occurring in the first place. The guidance in this book is drawn from the author's years of experience in helping clients and internal customers diagnose and resolve knotty production problems and stabilize their Kafka environments. The book is organized into recipe-style troubleshooting checklists that field engineers can easily follow when under pressure to fix an unstable cluster. This is the book you will want by your side when the stakes are high, and your job is on the line. What You Will LearnMonitor and resolve production issues in your Kafka clustersProvision Kafka clusters with the lowest costs and still handle the required loadsPerform root cause analyses of issues affecting your Kafka clustersKnow the ways in which your Kafka cluster can affect its consumers and producersPrevent or minimize data loss and delays in data streamingForestall production issues through an understanding of common failure pointsCreate checklists for troubleshooting your Kafka clusters when problems occurWho This Book Is ForSite reliability engineers tasked with maintaining stability of Kafka clusters, Kafka administrators who troubleshoot production issues around Kafka, DevOps and DataOps experts who are involved with provisioning Kafka (whether on-premises or in the cloud), developers of Kafka consumers and producers who wish to learn more about Kafka

Digitize your business operations both internally and externally with a well-structured app design. Customers today turn to mobile when searching for their future vendor. This book is your step-by-step guide through the process of building mobile apps that will meet your company's needs as well as the needs of your staff. See exactly how applying certain basic principles work and make them serve your goals by troubleshooting common mobile app design, usability, and promotion issues. You'll start by listing the advantages of what makes a mobile app an ideal platform and resource for growing your market and revenue. As many companies burn money on failed mobile app projects, you'll review the best practices on how to outline your app ideas and create a mobile product roadmap. You'll then explore the process of starting mobile app development¿from an initial idea to the final product. Yoüll look at the setbacks in development that can cost you a successful outcome, andreview proven practices and features that lead to success no matter what industry you operate in. Yoüll also understand the dynamics of mobile app development, and the best ways to ensure that your mobile app serves your company¿s goal for further growth. At the end, yoüll future proof your app and weigh the pros and cons of potentially outsourcing mobile development. Mobile App Development for Businesses puts theory into practical use for developing internal and external mobile apps. What You'll LearnLaunch and position your app in the marketDevelop apps for internal and external audiencesCollect and incorporate user feedbackSee why any great business today starts with a solid digital foundationWho This Book Is ForEntrepreneurs, business owners, directors, and executives wishing to grow their businesses and expand their reach in the market. Previous technological experience is helpful but not required.

In diesem Buch wird erklärt, wie Sie die in Power BI Desktop geladenen Daten durch den Zugriff auf eine Reihe von Funktionen der künstlichen Intelligenz (KI) anreichern können. Diese KI-Funktionen sind in Power BI Desktop integriert und helfen Ihnen, neue Erkenntnisse aus vorhandenen Daten zu gewinnen. Einige der Funktionen sind automatisiert und stehen Ihnen auf Knopfdruck oder durch das Schreiben von Datenanalyseausdrücken (DAX) zur Verfügung. Andere Funktionen sind durch das Schreiben von Code in den Sprachen R, Python oder M verfügbar. Dieses Buch eröffnet Ihnen die gesamte Palette der KI-Funktionen mit klaren Beispielen, die zeigen, wann sie am besten angewendet werden und wie Sie sie auf Ihre eigenen Datensätze anwenden können. Ganz gleich, ob Sie Geschäftsanwender, Analyst oder Datenwissenschaftler sind - Power BI verfügt über KI-Funktionen, die auf Sie zugeschnitten sind. In diesem Buch erfahren Sie, welche Arten von Erkenntnissen Power BI automatisch liefern kann. Sieerfahren, wie Sie die Sprachen R und Python für Statistiken integrieren und nutzen können, wie Sie beim Laden von Daten mit Cognitive Services und Azure Machine Learning Services zusammenarbeiten, wie Sie Ihre Daten durch Fragen in einfachem Englisch erkunden können ... und vieles mehr! Es gibt KI-Funktionen für die Entdeckung Ihrer Daten, die Charakterisierung unerforschter Datensätze und die Erstellung von Was-wäre-wenn-Szenarien. Es gibt viel zu mögen und von diesem Buch zu lernen, ob Sie ein Neuling in Power BI oder ein erfahrener Benutzer sind. Power BI Desktop ist ein frei verfügbares Tool zur Visualisierung und Analyse. Dieses Buch hilft Ihnen, das Beste aus diesem Tool herauszuholen, indem Sie einige seiner neuesten und fortschrittlichsten Funktionen nutzen.Was Sie lernen werden:- Stellen Sie Fragen in natürlicher Sprache und erhalten Sie Antworten aus Ihren Daten - Lassen Sie sich von Power BI erklären, warum sich ein bestimmter Datenpunkt von den anderen unterscheidet - Lassen Sie Power BI die wichtigsten Einflussfaktoren über Datenkategorien anzeigen - Zugriff auf die in der Azure-Cloud verfügbaren Funktionen für künstliche Intelligenz - Gehen Sie denselben Drilldown-Pfad in verschiedenen Teilen Ihrer Hierarchie - Laden Sie Visualisierungen, um Ihre Berichte intelligenter zu gestalten - Simulieren Sie Änderungen an Daten und sehen Sie sofort die Folgen - Kennen Sie Ihre Daten, noch bevor Sie Ihren ersten Bericht erstellen - Erstellen Sie neue Spalten, indem Sie Beispiele für die benötigten Daten angeben - Transformieren und visualisieren Sie Ihre Daten mit Hilfe von R- und Python-SkriptenFür wen dieses Buch gedacht ist:Für den begeisterten Power BI-Anwender, der modernste Funktionen der künstlichen Intelligenz (KI) einsetzen möchte, um neue Erkenntnisse aus vorhandenen Daten zu gewinnen. Für Endanwender und IT-Fachleute, die sich nicht scheuen, in die neue Welt des maschinellen Lernens einzutauchen, und bereit sind, diesen Schritt zu tun und einen tieferen Blick in ihre Daten zu werfen. Für diejenigen, die von einfachen Berichten und Visualisierungen zu diagnostischen und prädiktiven Analysen übergehen wollen.

Learn how to build cloud-native microservices with Helidon - an open-source Java framework from Oracle. This book will show you how to take full advantage of the cloud by optimizing applications with fast start times, low memory consumption, and a small disk footprint. The open-source Helidon framework provides all that, and more. It¿s based on Java 17, giving you full access to new code features. This book reveals how Helidon also supports modern enterprise Java standards such as MicroProfile. Plus, you'll see how Helidon lets you use GraalVM to build lightning-fast native executables, and its unique reactive layer allows you to develop efficient low-level APIs.Each chapter in the book teaches a new Helidon concept through practical examples based on real-life use-cases. Yoüll learn how to add observability and security to your microservices, how to work with databases, and call other services. You'll also look at all MicroProfile 5.0 platform specifications aswell as some stand-alone specs such as Messaging and Long Running Actions. Best of all, everything covered in this book makes it a great study guide for the upcoming Oracle Helidon certification - the perfect way to prove your new skills to a prospective employer!What You'll LearnPackage microservices using JLink and GraalVMDeploy microservices to Kubernetes Review MicroProfile 5.0 specifications in detailUnderstand the basics of Helidon Reactive APIsWho This Book Is ForDevelopers and architects who want to start developing cloud-native applications; developers who already use different Java framework and want to learn about Helidon; those interested in developing portable applications using MicroProfile and Jakarta EE

Explore Meta Spark Studio, a program used for augmented reality (AR) effect creation and deployment across multiple social media channels. This beginner¿s guide to AR development focuses on practical, project-based learning ¿ no prior coding or design experience is required.You will start by learning the fundamentals of AR as a whole and become familiar with key terminology and core concepts, building a baseline understanding of the technology overall.Using that foundational knowledge, yoüll embark on step-by-step tutorials and get hands-on with building AR effects. Projects include selfie effects that react to facial expressions and target tracking effects that respond to images detected in the real-world environment. Yoüll also learn how to create an entire AR game, including animations and scoring.Along the way, yoüll learn techniques for how to customize each one of these projects to fit your own unique vision. Additionally, yoüll become familiar with the ways to publish and share these creations with others.With access to this technology being available in nearly every smartphone, the world of AR is expanding every day. Now is a great time to tell your creative story through this new medium.You will:¿ Create a face tracking project that reacts to facial expressions¿ Build a target tracking project that responds to images in the real world¿ Develop a complete AR game with animations and scoring¿ Customize project templates with alternative assets and parameters¿ Understand how to package these effects for official publishing through social media platformsWho is this book for:This book is ideal for students, educators, creatives, small-business owners, or anyone else interested in creating immersive AR experiences for social networking platforms such as Instagram and Facebook. No coding or design experience is required.

Take your PDF forms to the next level! In this book, yoüll learn various ways to further improve your PDF forms using simple JavaScript coding. Yoüll also discover how a few lines of code can speed up your workflow when working with multiple PDFs in Action Wizard.Enhancing Adobe Acrobat Forms with JavaScript covers up-to-date, real working examples that you can easily download and practice with and edit to suit your own projects. This book also shows workarounds and solutions to various form issues you might encounter. Feel empowered by it and improve your PDF documents!JavaScript has been a part of Adobe Acrobat for many versions. However, few people use its features and focus mainly on using basic form properties, never delving deeper into Acrobat¿s full capabilities. While information on the web can be helpful, if you don¿t know enough about how to use JavaScript in Acrobat you will be left with poor results. JavaScript can be difficult to learn,but it does not need to be scary. This book explains in simple steps for beginner to intermediate level so that you can take full advantage of Acrobat¿s capabilities for your own projects. What You Will Learn¿ Learn simplified field notation and basic JavaScript for Acrobat¿ Work with buttons that can be used for navigation¿ Improve form navigation and printing of forms¿ Add various types of alerts and custom validations to improve client-entered-data¿ Learn the basics of how to prepare a form for e-signingWho Is This Book ForThis book is for anyone who needs to create forms for clients or websites. Students, lawyers, accountants, and human resources will be able to take their work to the next level by streamlining their workflow and utilizing advanced JavaScript features in Adobe Acrobat.

Use the graph table features in Azure SQL that were introduced in SQL Server 2017 and further refined in SQL Server 2019. This book shows you how to create data structures to capture complex connections between items in your data. These connections will help you analyze and draw insights from connections in your data that go beyond classic relationships. The graph examples in the book are useful for analyzing social media relationships, complex product-to-customer relationships, and any other type of data analysis in which indirect connections that otherwise might be missed using conventional techniques can be mined for their insight and business value. Tree structures are covered, with emphasis on a structure commonly used by organizations to aggregate data at different levels of an organization. The book provides code examples of SQL Graph objects as well as an alternate tree implementation technique. Included is sample data (and data generators) for you to test for performance and choose the implementation approach that best suits your needs and that of your application.If your job involves analyzing or storage of data elements that are connected in a networked topology, then this is the book that will help you bring the power of SQL Server to bear on that data and take advantage of your existing knowledge. What You Will LearnUnderstand the graph model and the associated terms used in graph analysisStore highly connected data in SQL Server and Azure SQL alongside existing relational dataMake full use of the graph table feature that is refined and enhanced in SQL Server 2019Implement high performance tree structures that will make storing and querying tree data possibleReport on data associated with a tree structure to aggregate results at different levelsWho This Book Is For

Immerse yourself in the architecture of an Angular application, starting with an introduction to TypeScript and ES6, and progressing to modules and components used to build complex applications. This book presents a hands-on approach to becoming a proficient Angular developer by building three complete applications.You'll start with an overview of the Angular framework where TypeScript and ES6 are introduced. Next you'll see how to build an application (RestApp) using the in-memory module to mock an API that communicates with a rest API performing crud operations. This is followed by an application (AuthApp) that uses a third party service to provide authentication and authorization capabilities to handle registrations. You'll then build an application (BlogApp) that communicates with a MongoDB database in six parts.Part 1 covers MongoDB, how to install bootstrap, login service, and adding the logic of the form. Part 2 covers how to start the project on the server, create the database and AuthService, and save the user in the session. In Parts 3 and 4 you will learn to create the post collection, post component, and sharpen details. In Parts 5 and 6 you will study adding, editing, and deleting posts with testing. By the end of the book you'll have the necessary knowledge to write and execute automated tests on your applications, and deploy them to a server. What You'll Learn Divide the logic of an application into componentsCommunicate with an APIRelease the power of the observables to solve asynchronous programming problems Include Bootstrap so that your application looks great on different devices Who This Book Is For Web developers with basic knowledge of JavaScript, HTML, and CSS.

Understand the fundamentals of Bxdf plugins for RenderMan® 21+, both the technical details and API architecture. The main goal of the book is to enable technical artists, hobbyists, and students in using the noncommercial (NCR), free RenderMan® edition. RenderMan® is an industry standard for rendering software. It has been used for every Pixar film to date and numerous other projects. RenderMan® 21, and all subsequent versions, use Monte Carlo path tracing. This change has necessitated the use of C++ plugins in place of the RenderMan Shader Language (RSL). Because of this, writing Bxdfs now requires knowledge of Monte Carlo integration, probability density functions, and the RenderMan® C++ API. Essential Guide to RenderMan® Shading Plugin Development specifically addresses writing RenderMan® C++ materials. It explores the mathematical models of representative Bxdfs while drawing parallels, when helpful, to earlier RSL implementations. It also includes an overview of Integrators, providing further context for modern RenderMan® programmable shading. What You Will LearnC++ development for BxdfsFundamentals of the rendering equationMonte Carlo integration Who Is This Book ForBeginner plugin writers for RenderMan®, such as technical artists, students, or hobbyists who may already have experience with RSL or another shader language. More experienced C++ developers without knowledge of RenderMan® or Monte Carlo path tracing will benefit from the content as well. While some prior experience in computer graphics is helpful, the book provides background and references for further study.

Facilitate coding in generating geometric motives with a special focus on analyzing their geometric formulations. This book aims to teach analytical coding skills by combining arts and mathematics. Geometric patterns are quintessentially important for understanding today¿s media arts and their relationship with mathematics. With the main emphasis on this, author Selçuk Artut proposes a certain workflow to mathematically analyze a geometric pattern and use creative coding skills to render it on a computer screen. When done, you'll understand the basics of coding and expand the provided structure to cover issues of creative coding in particular. This book will also present a workflow to geometrically analyze and build patterns with detailed examples.What You Will LearnGain insight into the field of geometric patterns and its cultural valueReview dialectic creativity thattakes place between humans and computersUse code as a creative tool to use human-computer interaction to develop one's creative skillsWho This Book Is ForAny person who has an interest in using coding as a creative tool. University students from Arts, Design, Architecture, and Computer Science departments. Artists and designers who are eager to implement creative coding in their artistic production.

This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark¿s structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows. This book covers Spark 3's new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. The second section centers on batch processing suited to end-of-cycle processing, and data ingestion through files and databases. It explains Spark DataFrame API as well as structured and unstructured data with Apache Spark. The last section deals with scalable, high-throughput, fault-tolerant streaming processing workloads to process real-time data. Here you'll learn about Apache Spark Streaming¿s execution model, the architecture of Spark Streaming, monitoring, reporting, and recovering Spark streaming. A full chapter is devoted to future directions for Spark Streaming. With real-world use cases, code snippets, and notebooks hosted on GitHub, this book will give you an understanding of large-scale data analysis concepts--and help you put them to use.Upon completing this book, you will have the knowledge and skills to seamlessly implement large-scale batch and streaming workloads to analyze real-time data streams with Apache Spark.What You Will LearnMaster the concepts of Spark clusters and batch data processingUnderstand data ingestion, transformation, and data storageGain insight into essential stream processing concepts and different streaming architecturesImplement streaming jobs and applications with Spark StreamingWho This Book Is ForData engineers, data analysts, machine learning engineers, Python and R programmers

While many guides exist to help software engineers learn cloud networking design and architecture concepts, and even prepare for cloud network certifications on AWS and Azure, far fewer resources are available covering the Google Cloud Platform (GCP) Professional Cloud Network Engineer certification exam. Well, look no further! This self-paced guide book is designed to help engineers learn cloud networking best practices on GCP, and prepare for the GCP Professional Cloud Network Engineer certification exam.You will waste no time when you use this study companion. It lets you dive in and learn how GCP differs from other public cloud providers (AWS and Microsoft Azure). You will understand GCP's unique ability to allow virtual private clouds (VPCs) that span across multiple regions. You will know how to leverage GCP as a competitive advantage in the IT engineering community. Key concepts covered on the exam are called out and applied in each chapter of this book, giving you both practice and reinforcement, a far more effective learning tool than rote learning or similar approaches typically enlisted in exam preparation.Enterprises are looking for developers with Google networking skills. Now is the time to skill up! This book shows you how to leverage GCP¿s developer-focused, user-friendly approach to understand how the networking components enabling the popular 1B-user Google products (e.g., Gmail, Google Search, YouTube, Google Workspace (formerly G-Suite), Google Maps, Google Photos, and many others) work behind the scenes.What You Will LearnIn addition to preparing for the GCP Professional Cloud Network Engineer certification exam, you will learn how to:Architect and design a virtual private cloudImplement a virtual private cloudConfigure network servicesImplement hybrid connectivityImplement network securityManage network operationsOptimize network resourcesWho This Book Is ForSoftware engineers (network, DevOps, SecOps, DataOps, engineers skilled with SDLC), software architects (solution, security, data, infrastructure, cloud, those skilled with TOGAF), and IT professionals. Prerequisites: While this study companion is intended to be self-contained, a basic knowledge of cloud computing along with hands-on experience with a minimum of two modern programming languages (Java, C#) is beneficial in order for readers to fully achieve the objectives of the book.

Learn how to detect, analyze, and respond to phishing emails, the top infection vector used by cybercriminals. The repeatable process described in this book has been cultivated and tested in real-life incidents and validated across multiple threat landscapes and environments.Every organization and individual with an email account is susceptible to deceptive emails sent by attackers with nefarious intentions. This activity, known as phishing, involves an attacker attempting to lure individuals into providing sensitive information or performing a predetermined action. Attacks vary in sophistication, but the core skills and process to detect, analyze, and respond to a suspicious message does not change.Attackers have preyed on victims with convincing and not-so-convincing phishing emails to gain initial footholds into networks around the world for over 30 years. This attack method has been rapidly growing in popularity and continues to be the number one method that organizations and individuals struggle to defend against. Regardless of what any vendor or organization will tell you, no infallible tool exists to eliminate this threat completely.This book teaches you how to analyze suspicious messages using free tools and resources. You will understand the basics of email, tactics used by attackers, and a repeatable process to systematically analyze messages and respond to suspicious activity.You Will Learn How to: Safely save email messages as attachments for analysisIdentify what information is in an email headerReview header information and extract key indicators or patterns used for detectionIdentify signs of a suspicious or malicious email messageDetect the tactics that attackers use in phishing emailsSafely examine email links and attachmentsUse a variety of free and simple tools to analyze email messagesWho This Book Is ForCybersecurity professionals and interested computer security enthusiasts currently holding or aspiring to obtain positions such as IT Security Analyst, Network Defender, Security Operations Center Analyst, or Help Desk Technician. Readers should have a general understanding of how email works and some ways that attackers use this platform for initial access.

Create a mobile app for Apple platforms using SwiftUI in conjunction with Google¿s Firebase backend to post and retrieve data, authenticate users, and store data securely. Yoüll use SwiftUI to create an engaging and aesthetically appealing user interface that meets the expectations of iOS users while leveraging the power of Google¿s Firebase to securely and seamlessly work with your backend data.With an intro to Xcode and SwiftUI, followed by tutorials on how build an app with Firestore, Firebase Storage, and the Authenticate framework, you'll find everything you need to build a complete iOS application. Yoüll begin with an introduction to Firebase and an overview of how to use Xcode and write code in SwiftUI. Then dive into two real-life projects where you'll build a note application and a social media application. With these projects, you'll see how to post, read, edit, and delete data using Firestore. You'll also upload large assets, such as pictures, toFirebase Storage, and we will also authenticate users with email and Sign in with Apple. On the backend, you'll learn how to structure our data, secure it, and also use third-party extensions to enhance the user experience.Build Mobile Apps with SwiftUI and Firebase offers the skills and knowledge necessary to develop apps that are both fun and functional for the user while also providing a robust backend that integrates with your app and stores data securely. Use SwiftUI and Firebase to build something your users will love!What You'll LearnAuthenticate users on your appSecure a remote database and manage data easilyEnhance user experience with extensionsWho This Book Is ForiOS developers who are beginning their journey with both SwiftUI, to build user interfaces, and the Google Firebase backend.

If you are a developer who wants to learn the basic skills of web and application programming interfaces (APIs) with .NET, this book is your complete introduction. The book takes a learn-by-experience approach. You will hit the ground running with a sample project that has everything you need to be wired up.As you follow along, you will learn simple and intuitive conventions that will free you from some of the more tedious decisions and work, in order to allow you to focus on the business requirements required by your team. Certain components of the framework should always appear in certain folders in the solution to speed up development while others need a name that follows particular conventions. You will learn the building blocks of Web API and how to leverage them to have a well-rounded API. Understanding these small but important tricks will make development faster, easier, and more pleasant, and will prevent time-consuming errors.Part I introduces you to the basics of Web. Part II gets you started creating an API that you will use and build upon throughout the book until you have a complete project. All companion code is available via GitHub. Part III covers more advanced concepts, including how to override out-of-the-box conventions to customize an API to meet your specific business needs. By the end of the book you will have a fully functional API, and you will be better prepared for an interview for a .NET backend developer job.What You Will LearnBuild a start-to-finish Web APIKnow the main concepts of the WebApply best practices in API development to your own projectsKnow the fundamentals of Web API developmentKnow the fundamentals of a RESTful APILeverage Web API constructs to implement a clean and extensible APIGet hands-on experience to unit test a Web APIGain the skills required to apply for a junior or entry-level .NET Web developer jobWho This Book Is ForDevelopers who want to learn API development with .NET. It is helpful to have some basic C# programming knowledge because it is used in API development in .NET, but it is not mandatory. Readers should be familiar with a programming language to be able to understand code and examples. Experience with web development is not necessary.

Begin your programming journey with C++ , starting with the basics and progressing through step-by-step examples that will help you become a proficient C++ programmer. This book includes new features from the C++23 standard. All you need are Beginning C++23 and any recent C++ compiler and you'll soon be writing real C++ programs. There is no assumption of prior programming knowledge. All language concepts that are explained in the book are illustrated with working program examples, and all chapters include exercises for you to test and practice your knowledge. Free source code downloads are provided for all examples from the text and solutions to the exercises. This latest edition has been fully updated to the latest version of the language, C++23, and to all conventions and best practices of modern C++. This book also introduces elements of the C++ Standard Library that provide essential support for C++23. After completing this book, you will have the knowledge and skills needed to build your first C++ applications. What You Will LearnBegin programming with the C++23 standardCarry out modular programming in C++Work with arrays and loops, pointers and references, strings, and moreWrite your own functions, types, and operatorsDiscover the essentials of object-oriented programmingUse overloading, inheritance, virtual functions, and polymorphismWrite generic function and class templates, and make them safer using concepts Learn the ins and outs of containers, algorithms, and rangesUse auto type declarations, exceptions, move semantics, lambda expressions, and much moreWho This Book Is ForProgrammers new to C++ and those who may be looking for a refresh primer on C++ in general.

This project-oriented book gives you a hands-on approach to designing, developing, and templating your Snowflake platform delivery. Written by seasoned Snowflake practitioners, the book is full of practical guidance and advice to accelerate and mature your Snowflake journey. Working through the examples helps you develop the skill, knowledge, and expertise to expand your organization's core Snowflake capability and prepare for later incorporation of additional Snowflake features as they become available. Your Snowflake platform will be resilient, fit for purpose, extensible, and guarantee rapid, consistent, and repeatable, pattern-based deployments ready for application delivery.When a Snowflake account is delivered there are no controls, guard rails, external monitoring, nor governance mechanisms baked in. From a large organization perspective, this book explains how to deliver your core Snowflake platform in the form of a Landing Zone, a consistent, templated approach that assumes familiarity with Snowflake core concepts and principles. The book also covers Snowflake from a governance perspective and addresses the "who can see what?" question, satisfying requirements to know for certain that your Snowflake accounts properly adhere to your organization's data usage policies.The book provides a proven pathway to success by equipping you with skill, knowledge, and expertise to accelerate Snowflake adoption within your organization. The patterns delivered within this book are used for production deployment, and are proven in real-world use. Examples in the book help you succeed in an environment in which governance policies, processes, and procedures oversee and control every aspect of your Snowflake platform development and delivery life cycle. Your environment may not be so exacting, but you'll still benefit from the rigorous and demanding perspective this book's authors bring to the table. The book showsyou how to leverage what you already know and adds what you don't know, all applied to deliver your Snowflake accounts. You will know how to position your organization to deliver consistent Snowflake accounts that are prepared and ready for immediate application development.What You Will LearnCreate a common, consistent deployment framework for Snowflake in your organizationEnable rapid up-skill and adoption of Snowflake, leveraging the benefits of cloud platformsDevelop a deep understanding of Snowflake administration and configurationImplement consistent, approved design patterns that reduce account provisioning timesManage data consumption by monitoring and controlling access to datasets

Understand the role that Dataverse plays in the low-code revolution that helps businesses gain advantage from being more agile with technology. This book shows you how to use Dataverse to solve business problems by describing the layers of a solution in the Power Platform and the options that exist at each layer so you can make informed decisions as you develop your solutions. The book shows how Dataverse is a central piece of the Microsoft Power Platform and helps tech-savvy professionals move nimbly and seize the day when opportunities present themselves. The book starts out by covering the platform in terms of its layers so you can orient yourself with the features that exist at each level and what that means to you as a developer. You will learn how to work inside the data layer to design tables to store data and relationships and manage how it all works together. You will learn how to apply business logic and validation in the business layerto ensure data integrity and enforce process compliance. You will learn how to design interfaces in the presentation layer to allow users to interact with your data and processes in user-friendly applications. And you will learn how to utilize third-party integration tools to create seamless connections between your solution and legacy systems so you can develop enterprise-grade tools in record time.What You Will LearnUnderstand the layers of Dataverse and the features at each layerCreate tables and relationships to store data and manage interactionsBuild applications to allow users to interact with your data using logical interfacesDesign business logic and workflows to ensure data integrity and automationConfigure security to control access to data and prevent unauthorized accessExplore the options for integration with third-party systems Who This Book Is ForMicrosoft Power Platform users who want to learn how to access the power of the Power Platform and leverage Dataverse to build powerful, robust, and resilient tools; power users and citizen developers who are looking for tools to quickly build scalable business solutions that don¿t require a strong developer background; pro developers who want to learn how to utilize use the Power Platform to speed up the development cycle and deliver value to customers faster than ever before

Go beyond the basics and build complete applications using the Rust programming language. The applications in this book include a high-performance web client, a microcontroller (for a robot, for example), a game, an app that runs on Android, and an application that incorporates AI and machine learning. Each chapter will be organized in the following format: what this kind of application looks like; requirements and user stories of our example program; an introduction to the Rust libraries used; the actual implementation of the example program, including common pitfalls and their solutions; and a brief comparison of libraries for building each application, if there is no clear winner.Practical Rust Projects will open your eyes to the world of practical applications of Rust. After reading the book, you will be able to apply your Rust knowledge to build your own projects. What You Will Learn Write Rust code that runs on microcontrollers Build a 2D game Create Rust-based mobile Android applications Use Rust to build AI and machine learning applications Who This Book Is ForSomeone with basic Rust knowledge, wishing to learn more about how to apply Rust in a real-world scenario.

Investing in engineering documentation (Docs) means investing in community user experience. This book teaches readers how mastering the docs-as-code ecosystem empowers communities to understand better their favorite products and Open-Source (OSS) technologies better.Author Alejandra Quetzalli believes that ¿docs-as-ecosystem¿ represents a more comprehensive and collaborative approach to documentation development than ¿docsas- code¿ because it recognizes that documentation is more than just code. Docs involve technical writing, design, community feedback, community management, accessibility, SEO, UX, and today¿ even Artificial Intelligence tools! The word ecosystem promotes a paradigm where we treat documentation as a complex and dynamic system that must be managed and nurtured.In this book, yoüll acquire practical skills such as creating public style guides, incorporating responsive and accessible design, designing user flows and information architecture, retrieving user feedback, and setting up Docs analytics. Yoüll learn to identify the difference in work processes between maintaining Docs for a product versus an OSS technology. Yoüll discover the secrets to managing technical writers and OSS contributions, all while building a thriving Docs community. To end on a futuristic note, yoüll discover why technical writers who harness Artificial Intelligence (AI) tools (i.e., ChatGPT) need not fear a robot uprising anytime soon. What You'll LearnExamine accessibility and the user experienceUnderstand Information architecture Review docs-as-ecosystem processes Manage technical writersOversee OSS Docs contributions Retrieve and integrate user feedback Build Docs and Education communities Who This Book is ForDevelopers of all levels, VPs of Product/Engineering, Product Managers, and Designers,

Uncover the fascinating history of virtual communities and how we connect to each other online. The Rise of Virtual Communities, explores the earliest online community platforms, mapping the technological evolutions, and the individuals, that have shaped the culture of the internet.Read in-depth interviews with the visionary founders of iconic online platforms, and uncover the history of virtual communities and how the industry has developed over time. Featuring never-before told stories, this exploration introduces new ideas and predictions for the future, explaining how we got here and challenging what we think we may know about building online communities.Readers will: Learn what a virtual community is and how it has become an integral part of modern society Review key insights into building virtual communities and platforms from the founders and pioneers who created them See what thecurrent developments and the potential challenges are related to the future of virtual communitiesWho is this for:Community managers, company founders and those who want to know more about the origins and future of virtual communities.interviews Include:Randy Farmer & Chip Morningstar ¿ Lucasfilm Games ¿Habitat¿ and creators of the modern AvatarHoward Rheingold - Community expert and member of the WELLStacy Horn - Founder of Echo NYCJim Bumgardner - Founder of The PalacePhilip Rosedale - Founder of Second LifeSampo Karjalainen - Co-founder of Habbo HotelLance Priebe - Co-Founder of Club Penguin Angelo Sotira - Co-Founder of Deviant Art Caterina Fake - Co-Founder of FlickrAlexis Ohanian- Founder of Reddit Kevin Rose ¿ Co-Founder of Digg & PROOF CollectiveJason Citron - Founder of Discord Trevor McFedries - Founder of FWB & Brud Cherie Hu - Founder of Water & MusicMichelle Kennedy - Founder of Peanut

When it comes to managing cybersecurity in an organization, most organizations tussle with basic foundational components. This practitioner's guide lays down those foundational components, with real client examples and pitfalls to avoid.A plethora of cybersecurity management resources are available-many with sound advice, management approaches, and technical solutions-but few with one common theme that pulls together management and technology, with a focus on executive oversight. Author Ryan Leirvik helps solve these common problems by providing a clear, easy-to-understand, and easy-to-deploy foundational cyber risk management approach applicable to your entire organization.The book provides tools and methods in a straight-forward practical manner to guide the management of your cybersecurity program and helps practitioners pull cyber from a "e;technical"e; problem to a "e;business risk management"e; problem, equipping you with a simple approach to understand, manage, and measure cyber risk for your enterprise. What You Will LearnEducate the executives/board on what you are doing to reduce riskCommunicate the value of cybersecurity programs and investments through insightful risk-informative metricsKnow your key performance indicators (KPIs), key risk indicators (KRIs), and/or objectives and key resultsPrioritize appropriate resources through identifying program-related gapsLay down the foundational components of a program based on real examples, including pitfalls to avoidWho This Book Is ForCISOs, CROs, CIOs, directors of risk management, and anyone struggling to pull together frameworks or basic metrics to quantify uncertainty and address risk

SparxSystems Enterprise Architect (EA) is a logical choice for many companies and organizations: it combines a broad feature set with an affordable price. However, the robust range of features makes starting to use this fantastic tool a bit intimidating. Enter Michael, a fictional consultant and experienced enterprise architect featured throughout the book to show you how to populate a model with elements and connectors, and how to create diagrams that speak to the audience: management, project managers, internal audit, business stakeholders and IT representatives. As the book progresses Michael's duties continue with more advanced topics including the use of workflow tools such as Kanban boards. You'll even see how to present directly from Enterprise Architect so that latest information can be shown straight from the source!The last days of Michael¿s mission are devoted to fine-tuning the enterprise architecture model with the help of tagged values. And to leave the model in the hands of the customer by creating a custom toolbox. What You'll Learn Setup EA and populate a model with elements, connectors and diagramsReview the Big Five of enterprise architect: Model, Packages, Diagrams, Elements, ConnectorsImplement evidence-based best practice strategies aligned with overall goalsWho This Book Is ForNon-technical users who use EA mainly to document entire landscapes.