Bücher veröffentlicht von APress

Salesforce Field Service (formerly Field Service Lightning) connects customers, workforce, and products on a single platform to deliver exceptional on-site services. This book guides Field Service enthusiasts in creating, managing, and automating support with use cases and real-time examples.You will learn Salesforce Field Service which will help you better manage your customers, internal users, and field technicians. As you advance, yoüll learn the whole end-to-end life cycle of creating work orders, associating service appointments to work orders, scheduling and dispatching service appointments to field technicians, and completing the work orders.By the end of this book, yoüll be able to implement, test and deploy Salesforce Field Service for both Desktop and Mobile apps.What yoüll learn· Basics of Field Service· Field Service objects and data model· Field Service schedulingand optimization· Configuring Salesforce Field Service· Managing Salesforce Field Service capabilities· Configuring and using the Field Service Mobile App· Deploying and testing Salesforce Field Service· Salesforce Field Service KPIs and ReportingWho This Book Is forThis book is for Salesforce admins, developers, and consultants who are looking to learn and implement Salesforce Field Service. A basic understanding of Salesforce is assumed. Coding or programming experience is not required.

It's a jungle out there.Delivering software solutions with predictable costs, time, scope, and quality has become more complicated than ever. Developers need to account for multiple moving targets, including often avoided but always relevant factors such as culture, people, and leadership. To effectively deal with these challenges, it's necessary to rethink the entire delivery chain of modern software development. This book addresses all these topics, putting everything in perspective, from the potential awkwardness created by cultural differences to connecting code with business outcomes to make delivering quality solutions possible. As a software engineer who strives to be his best and challenge the status quo when building IT systems, author Tengiz Tutisani always wanted a book that would cover all of these elements from a developer's perspective - so he wrote one. Effective Software Development for the Enterprise builds on advanced disciplines, methodologies, and techniques derived from domain-driven design, software architecture, and extreme programming. Its objective is to aid modern software engineers and solution architects in building and delivering high-quality solutions for an enterprise while meeting ambitious criteria:Meet users' expectationsDeliver solutions on time with no defectsCreate products that can scale-out horizontallySolutions should not require a dedicated production support teamAccelerate development paceDouble ROI per developer, team, and softwareYou will learn how to achieve these objectives in any engineering environment by developing solid strategies based on the industry's well-known, recognized, and proven patterns and principles. After reading this book, you will be ready to effectively deal with any and all challenges posed by today's hyper-competitive, globally-diverse, fast-moving enterprise environment.Who This Book Is ForProfessional software engineers and solution architects, as well as those aspiring to become one. Additionally, software engineering leaders will benefit from reading it, as it will help them maximize their impact via successful software project deliveries.

Get started and hit the ground running in the world of software testing. This simple and practical guide teaches you the fundamentals of software testing, with no prior experience required.You will start by learning functional and non-functional software testing. Then you will gain an understanding of the primary responsibilities of a tester in the Software Development Life Cycle and how to plan and execute testing activities. You will also learn how testing applies to an agile environment, what challenges you might face in your day-to-day life as a tester, and how to overcome them. You will learn the most commonly used test design techniques, with ample examples and exercises to practice yourself.By the end of this book, you will understand the software testing ecosystem, from its types, techniques, and tools, to test planning, execution, and reporting.What You Will LearnMaster the fundamentals of Software TestingGain an understanding of different software testing typesPlan and execute testing activitiesApply test design techniques to concrete examples Who This Book Is ForSoftware testers, developers, project managers, and other stakeholders involved in software testing.

Learn how to use Google Cloud Platform (GCP) and its services to design, build, and deploy applications. This book includes best practices, practical examples, and code snippets written in Java, making it a key resource for developers seeking hands-on experience with GCP. You'll begin with an introduction to GCP services and a review of what Java offers while developing applications for GCP. Next, you'll be walked through how to set up Google App Engine, Google Storage Cloud, and Google Cloud SQL with use cases, as well as application development and deployment. As the book progresses, you'll be exposed to advanced GCP services, deploying and scaling applications on GCP services, and troubleshooting and optimization of Java applications on GCP. The book uses real-world examples to help you understand how GCP services can solve everyday problems.After completing this book, you will understand Google Cloud Platform and its services, and will have the knowledge needed to design, build, and deploy your own applications on GCP using Java.What You'll LearnCreate a GCP project, configure authentication and authorization, and deploy a sample application.Use GCP services to solve common problems and apply them to real-world scenariosImplement GCP services such as Datastore, SQL, and SpannerLeverage GCP tools such as the SDK and Cloud ShellWho This Book Is ForSoftware developers, Cloud architects, and managers looking to design and build applications for Google Cloud Platform. This book is for those with software development experience who are familiar with Java programming. It is also suitable for those new to GCP who have a basic understanding of cloud computing concepts.

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

Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn to make your functions pure by avoiding side effects, write functions that manipulate other functions, and construct complex functions using simpler functions as building blocks.In Functional Programming in R 4, yoüll see how to replace loops, which can have side-effects, with recursive functions that can more easily avoid them. In addition, the book covers why you shouldn't use recursion when loops are more efficient and how you can get the best of both worlds.Functional programming is a style of programming, like object-oriented programming, but one that focuses on data transformations and calculations rather than objects and state. Where in object-oriented programming you model your programs by describing which states an object can be in and how methods will reveal or modify that state, in functional programming you model programs by describing how functions translate input data to output data. Functions themselves are considered to be data you can manipulate and much of the strength of functional programming comes from manipulating functions; that is, building more complex functions by combining simpler functions.What You'll LearnWrite functions in R 4, including infix operators and replacement functions Create higher order functionsPass functions to other functions and start using functions as data you can manipulateUse Filer, Map and Reduce functions to express the intent behind code clearly and safelyBuild new functions from existing functions without necessarily writing any new functions, using point-free programmingCreate functions that carry data along with themWho This Book Is ForThose with at least some experience with programming in R.

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.

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

Scale mobile applications to handle an enormous user base and development team. This book outlines the scaling challenges that mobile engineers face and some standard techniques and design patterns to deal with those issues. You already know the basics of iOS development, but how do you learn the key concepts and patterns to scale a mobile application? Yoüll start by learning the fundamentals of the iOS platform often overlooked when using out-of-the-box iOS solutions. While standard iOS solutions might work at a small scale, the most prominent tech companies reinvent these for highly customized usage, making understanding the underlying concepts crucial. Understanding these concepts reduces ramp-up time and allows engineers to understand the "why" intuitively. Having mastered the fundamentals, you'll next focus on architecture and design principles to build, maintain, and release features within a large codebase and the soft skills to enact change in a larger organization. Yoüll be empowered with a deeper understanding of iOS design patterns and the industry knowledge necessary to take their features from idea to production. Yoüll also study the people skills to get things done in a large organization¿a critical step to growing one's career.Upon completing iOS Development at Scale, you'll understand the solutions and tradeoffs you can leverage to build better applications and grow your career.What You'll LearnApply computer science and engineering fundamentals to the iOS platformImplement knowledge of iOS architecture and best practices at large-scale companiesIdentify current gaps in your product and gain alignment within the broader organizationSolve problems with knowledge of systems architecture and industry best practices to identify and address gaps in your codebaseWho This Book Is ForiOS software engineers and mobile engineer managers. Additionally, any software engineer, manager, or business stakeholder wanting to learn more about mobile development and the challenges that mobile engineers face.

Develop strong skills for writing cryptographic algorithms and security schemes/modules using C++23 and its new features. This book will teach you the right methods for writing advanced cryptographic algorithms, such as elliptic curve cryptography algorithms, lattice-based cryptography, searchable encryption, and homomorphic encryption. You'll also examine internal cryptographic mechanisms and discover common ways in which the algorithms can be implemented and used correctly in practice. The authors explain the mathematical basis of cryptographic algorithms in terms that a programmer can easily understand. They also show how ¿bad¿ cryptography can creep in during implementation and what ¿good¿ cryptography should look like by comparing advantages and disadvantages based on processing time, execution time, and reliability.What You Will Learn Discover what modern cryptographic algorithms and methods are used for Design and implement advanced cryptographic mechanisms See how C++23 and its new features are impact the implementation of cryptographic algorithms Practice the basics of public key cryptography, including ECDSA signatures and more See how most of the algorithms can be broken Who This Book Is ForProfessional programmers, developers, and software engineers who are developing cryptography algorithms and security schemes/modules in C++. Prior C++ programming and IDE experience and some basic experience of cryptography concepts (symmetric and asymmetric) highly recommended.

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

Learn how VMware has brought its enterprise-class software-defined Data Center software to the AWS Cloud. This book will show how to enable customers to run production applications across VMware vSphere®-based private, public, and hybrid cloud environments, with optimized access to AWS services. The book begins by introducing the value of VMware Cloud on AWS and talking about the different use cases that can be addressed by this SaaS solution and how it can accelerate cloud migration. In subsequent chapters, yoüll adopt a more pragmatic approach with practical examples of how to successfully plan, design and deploy VMware Cloud on AWS.VMware Cloud on AWS also covers technical requirements as well as the different options to prepare for a successful deployment and make the right decision to interconnect the solution to any existing environment through a dedicated link. In a dedicated chapter, it approaches the challenge of migrating workloads on the platform and address all the current capabilities offered by the solution and more specifically HCX, the Hybrid Cloud Extension offering that works in concert with VMware Cloud on AWS to facilitate moving complex workloads to the cloud.Yoüll also review the advanced networking and security options available in the platform that help reinforce the level of security with features like traditional Gateway Firewall, Distributed Firewall, Micro-segmentation, Identity Firewall, and IDS/IPS. The book concludes with best practices to address operation tasks and get valuable insights into the VMware Cloud on AWS deployment.What You'll LearnPlan and Deploy VMware Cloud on AWSMigrate your workloads to the cloud with VMware Cloud on AWS and HCXSecure workloads on VMware Cloud on AWSOperate VMware Cloud on AWSWho This Book Is For IT Administrators, CIOs, Consultants, CloudArchitects, Implementation Specialists, Presales Specialists, and Sales Specialists.

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.