Search results for ""apress""

Get introduced to Azure Arc-enabled Data Services and the powerful capabilities to deploy and manage local, on-premises, and hybrid cloud data resources using the same centralized management and tooling you get from the Azure cloud. This book shows how you can deploy and manage databases running on SQL Server and Postgres in your corporate data center or any cloud as if they were part of the Azure platform. This second edition has been updated to the latest codebase, allowing you to use this book as your handbook to get started with Azure Arc-enabled Data Services today. Learn how to benefit from Azure's centralized management, the automated rollout of patches and updates, managed backups, and more. This book is the perfect choice for anyone looking for a hybrid or multi-vendor cloud strategy for their data estate. The authors walk you through the possibilities and requirements to get Azure SQL Managed Instance and PostgresSQL Hyperscale deployed outside of Azure, so the services are accessible to companies that cannot move to the cloud or do not want to use the Microsoft cloud exclusively. The technology described in this book will benefit those required to keep sensitive services, such as medical databases, away from the public cloud equally as those who can’t move to a public cloud for other reasons such as infrastructure constraints but still want to benefit from the Azure cloud and the centralized management and tooling that it supports.What You Will Learn Understand the fundamentals and architecture of Azure Arc-enabled data services Build a multi-cloud strategy based on Azure Data Services Deploy Azure Arc-enabled data services on premises or in any cloud Deploy Azure Arc-enabled SQL Managed Instance on premises or in any cloud Deploy Azure Arc-enabled PostgreSQL Hyperscale on premises or in any cloud Backup and Restore your data that is managed by Azure Arc-enabled data services Manage Azure-enabled data services running outside of Azure Monitor Azure-enabled data services through Grafana and Kibana Monitor Azure-enabled data services running outside of Azure through Azure Monitor Who This Book Is ForDatabase administrators and architects who want to manage on-premises or hybrid cloud data resources from the Microsoft Azure cloud. Especially for those wishing to take advantage of cloud technologies while keeping sensitive data on premises and under physical control.

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Create stunning and complex visualizations using the amazing Charticulator custom visuals in Power BI. Charticulator offers users immense power to generate visuals and graphics. To a beginner, there are myriad settings and options that can be combined in what feels like an unlimited number of combinations, giving it the unfair label, “the DAX of the charting world”. This is not true. This book is your start-to-finish guide to using Charticulator, a custom visualization software that Microsoft integrated into Power BI Desktop so that Power BI users can create incredibly powerful, customized charts and graphs. You will learn the concepts that underpin the software, journeying through every building block of chart design, enabling you to combine these parts to create spectacular visuals that represent the story of your data.Unlike other custom Power BI visuals, Charticulator runs in a separate application window within Power BI with its own interface and requires a different set of interactions and associated knowledge. This book covers the ins and outs of all of them.What You Will Learn Generate inspirational and technically competent visuals with no programming or other specialist technical knowledge Create charts that are not restricted to conventional chart types such as bar, line, or pie Limit the use of diverse Power BI custom visuals to one Charticulator custom visual Alleviate frustrations with the limitations of default chart types in Power BI, such as being able to plot data on only one categorical axis Use a much richer set of options to compare different sets of data Re-use your favorite or most often used chart designs with Charticulator templates Who This Book Is ForThe average Power BI user. It assumes no prior knowledge on the part of the reader other than being able to open Power BI desktop, import data, and create a simple Power BI visual. User experiences may vary, from people attending a Power BI training course to those with varying skills and abilities, from SQL developers and advanced Excel users to people with limited data analysis experience and technical skills.

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Discover what's new in C# and .NET for Windows programming. This book is a condensed code and syntax reference to the C# programming language, updated with the latest features of version 10 for .NET 6. You'll review the essential C# 10 and earlier syntax, not previously covered, in a well-organized format that can be used as a handy reference. Specifically, unions, generic attributes, CallerArgumentExpression, params span, Records, Init only setters, Top-level statements, Pattern matching enhancements, Native sized integers, Function pointers and more.You'll find a concise reference to the C# language syntax: short, simple, and focused code examples; a well laid out table of contents; and a comprehensive index allowing easy review. You won’t find any technical jargon, bloated samples, drawn-out history lessons, or witty stories. What you will find is a language reference that is to the point and highly accessible. The book is a must-have for any C# programmer.What You Will Learn Employ nullable reference types Work with ranges and indices Apply recursive patterns to your applications Use switch expressions Who This Book Is ForThose with some experience in programming, looking for a quick, handy reference. Some C# or .NET recommended but not necessary.

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Learn the fundamentals of SAP Enterprise Project and Portfolio management Project Systems (PS), Portfolio and Project Management (PPM) and Commercial Project Management (CPM) and their integration with other SAP modules. This book covers various business scenarios from different industries including the public sector, engineering and construction, professional services, telecom, mining, chemical, and pharmaceutical. Author Joseph Alexander Soosaimuthu will help you understand common business challenges and pain areas faced in portfolio, program and project management, and will provide suitable recommendations to overcome these challenges. This book not only suggests solutions within SAP, but also provides workarounds or integrations with third-party tools based on various Industry-specific business requirements. SAP Portfolio and Project Management addresses commonly asked questions regarding SAP EPPM implementation and deployment, and conveys a framework to facilitate engagement and discussion with key stakeholders. This provides coverage of SAP on-premise solutions with ECC 6.08 and SAP PPM 6.1 deployed on the same client, as well as S/4 HANA On-Premise 2020 with integration to BPC and BI/W systems. Interface with other third-party schedule management, estimation, costing and forecasting applications are also covered in this book. After completing SAP Portfolio and Project Management, you will be able to implement SAP Enterprise Portfolio and Project Management based on industry best practices. For your reference, you’ll also gain a list of development objects and a functionality list by Industry, and a Fiori apps list for Enterprise Portfolio and Project Management (EPPM). What You Will Learn Understand the fundamentals of project, program and portfolio management within SAP EPPM Master the art of project forecasting and scheduling integrations with other SAP modules Gain knowledge of the different interface options for scheduling, estimation, costing and forecasting third party applications Learn EPPM industry best practices, and how to address industry-specific business challenges Leverage operational and strategic reporting within EPPM Who This Book For Functional consultants and business analysts who are involved in SAP EPPM (PS, PPM and CPM) deployment and clients who are interested and are in the process of having SAP EPPM deployed for their Enterprise.

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This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more.Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API.With a copy of the R 4 Quick Syntax Reference in hand, you will find that you are able to use the multitude of functions available in R and are even able to write your own functions to explore and analyze data.What You Will Learn Discover the modes and classes of R objects and how to use them Use both packaged and user-created functions in R Import/export data and create new data objects in R Create descriptive functions and manipulate objects in R Take advantage of flow control and conditional statements Work with packages such as base, stats, and graphics Who This Book Is ForThose with programming experience, either new to R, or those with at least some exposure to R but who are new to the latest version.

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Master Excel in less than two weeks with this unique project-based book! Let’s face it, we all master skills in our own way, but building a soup-to-nuts project is one of the best ways to make learning stick and get up to speed quickly. Whether you are just getting started with Excel or are an experienced user, this book will elevate your knowledge and skills. For a beginner, the micro examples in each chapter will warm you up before you dive into the projects. For experienced users, the projects, especially those with table setup considerations, will help you become more creative in your interactions with Excel. Readers will benefit from building eight unique projects, each covering a different topic, including a word game, a food nutrition ranking, a payroll (tax withholding) calculation, an encryption, a two-way table, a Kaplan-Meier analysis, a data analysis via a pivot table and the K-means Clustering data mining method. Through these projects, you will experience firsthand how Excel skills are organized together to accomplish tasks that sound complex and daunting when first described. Get started with a word game which asks users to find English words that amount to exactly 100 points, with each letter of the alphabet assigned a point 1, 2, 3, … 26, respectively. You will disassemble a word into letters and then sum up their points, and then take it one step further, contemplating how to make the completed Excel worksheet more user friendly and completely automated. Increasingly challenging tasks like this example build on what you have learned and increase your confidence along the way, ensuring your mastery of Excel. What You Will Learn Gain confidence to tackle a challenging Excel-related mission, even those that seem impossible Become skilled in the creative uses of Excel formulas and functions and other built-in features Appreciate the art of refining worksheets to maximize automation Understand the value of treating each worksheet as a unique product Who This Book Is ForPeople who are interested in learning Excel as quickly and efficiently as possible. While Excel beginners and intermediate users are the primary audience, experienced Excel users might also discover new skills and ways of working with Excel.

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This book covers everything a developer needs to know to hit the ground running and get the most out of Windows Subsystem for Linux (WSL). Since its release, Windows Subsystem for Linux (WSL) has been growing in popularity, moving from curious early adopters to wide-scale interest, including enterprise development teams using WSL in production. This authoritative guide to WSL covers the gamut, introducing developers to WSL architecture, installation and configuration, the WSL command line, all the way to advanced use cases and performance tunings. Practical examples are sprinkled throughout to reinforce understanding. This book is designed to efficiently and effectively get developers comfortable using this highly useful platform for open-source development on Windows. WSL is uniquely suited to cloud and cross-platform development, and system administrator workflows on Windows. Windows developers will begin with the basics of installation and then be introduced to the vast library of open source tools that they can integrate into their own workflows, using their existing development tools, such as Code, Visual Studio, and JetBrains IDEs. Readers will learn, hands on, about using WSL to develop cross-platform and cloud-native applications, work with containers, and deploy a local Kubernetes cluster on WSL. “Much of what WSL is, is what developers make of it” is expert Barnes’ guiding mantra, a theme that is reinforced throughout this valuable cross-platform learning journey. Developers will get excited about the many new opportunities at their fingertips and be astounded at what they can do and achieve with WSL. What You Will Learn Install and configure WSL, a unique and novel configuration process Receive an unbiased overview of WSL, its architecture, installation, the command line, practical use cases, and advanced configuration Create a development workstation using WSL Compare and contrast the differences between WSL 1 and WSL 2 Explore, in depth, some of the more popular workflows in WSL, including Docker containers Consider and plan key factors for a large scale enterprise deployment of WSL Who This Book Is ForDevelopers who need to know WSL and how to build a development stack, integrating it with their preferred code editor or IDE if they so choose; existing Windows and Linux system administrators who want to learn how to install, deploy, and manage WSL; power users who are comfortable in a command line, but may be new to Linux or WSL

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Take a deep dive into the architectural approach, best practices, and key considerations needed to comprehend, evaluate, and design an efficient, scalable, and sustainable Salesforce-based solution. This book takes a comprehensive look at the seven architectural domains that must be considered when architecting a Salesforce-based solution and equips you to develop the artifacts needed for an end-to-end enterprise architecture blueprint for Salesforce implementation and DevOps.This must-have handbook helps Salesforce professionals implement and manage Salesforce in their organization. You will learn Salesforce architecture: solution architecture, data architecture, security architecture, integration architecture, identity and access management architecture, and strategies that can be used for Salesforce-based mobile applications.In addition to the main architecture concepts, the book also offers industry best practices and the recommended framework for approaching, managing, delivering, and continuously improving a Salesforce solution using its Salesforce Development & Deployment Lifecycle. What You Will Learn Get a detailed overview of the Salesforce multi-tenant, metadata-driven architectural framework and the under-the-hood technology stack that supports Salesforce Know the seven architecture domains, their intricacies, and the considerations needed within each when designing a Salesforce solution Have an architectural mindset and the artifacts needed to architect an end-to-end enterprise-level implementation of Salesforce Be familiar with the most common Salesforce products, licenses, AppExchange products, and the key considerations of using out-of-the-box declarative capabilities vs custom programmatic capabilities of Salesforce Understand data architecture design considerations that include data modeling in Salesforce, identifying and mitigating large data volume concerns, and the key considerations for data migration and data archiving strategies Understand security architecture considerations related to securing data within Salesforce and the various approaches to allow or restrict sharing and visibility from within Salesforce Understand integration architecture considerations that provide an overview of the integration patterns and the integrations solutions that can be used with Salesforce to connect Salesforce with a remote system hosted on-premises, on the cloud, or by third-party solution providers Understand identity and access management architectural considerations across the 9 stages of an identity and access management lifecycle Be aware of the strategies available to design mobile solutions with Salesforce and the options available for Salesforce mobile architecture Employ the principles of the DevOps & Development Lifecycle needed for an ideal state Salesforce implementation Who This Book Is ForProfessionals interested in implementing, optimizing, and architecting Salesforce solutions enterprise-wide; Salesforce implementation (SI) partners needing a detailed playbook for architecting and delivering successful Salesforce solutions; Salesforce admins, developers, and architects looking for a one-stop educational resource to mastering the Salesforce architect domains or those pursuing the Salesforce architecture domain certification exams, including the Salesforce Certified Technical Architect (CTA) board exam

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Deconstruct the history of patterns of innovation in business and connect them to existing and failed attempts in management consultancies, engineering, web technologies and academic institutions. This book shows you how to create an optimal environment at work for growth and innovation. Many large-scale organizations eventually invest in research and innovation as a dedicated part of their businesses. In doing so, they are faced with two choices: build their own practice of innovation or enact patterns of innovation created before them, ones they perceived as "tried and tested." In this book, you will see how patterns of innovation touch many aspects of a worker’s life: from how their work is presented to others, job titles, working environment, and expectations around output. Every chapter will offer a history of these patterns and examples of how they have succeeded and failed within organizations. What You Will Learn Identify how innovation is named and highlighted in organizations Reveal ways to champion innovation to clients and the outside world, from trade shows and conferences inside the office Uncover ways companies acquire innovation, including incubators or mergers Discover the conditions for innovation to happen every day, including office layouts, time management, communication structures, and expectation management Who This Book Is ForTech start-up/scale-up founders, management consultants, managing directors, innovation managers and heads of R&D, academic researchers, interior designers, and architects

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Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you’ll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI’s profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. What You Will Learn Understand the principles of responsible AI and their importance in today's digital world Master techniques to detect and mitigate bias in AI Explore methods and tools for achieving transparency and explainability Discover best practices for privacy preservation and security in AI Gain insights into designing robust and reliable AI models Who This Book Is For AI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI

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Leverage the power of Artificial Intelligence (AI) to drive the growth and success of your organization. This book thoroughly explores the reasons why it is so hard to implement AI, and highlights the need to reconcile the motivations and goals of two very different groups of people, business-minded and technical-minded. Divided into four main parts (First Principles, The Why, The What, The How), you'll review case studies and examples from companies that have successfully implemented AI. Part 1 provides a comprehensive overview of the First Principles approach and its basic conventions. Part 2 provides an in-depth look at the current state of AI and why it is increasingly important to businesses of all sizes. Part 3 delves into the key concepts and technologies of AI. Part 4 shares practical guidance and actionable steps for businesses looking to implement AI. Grow Your Business with AI is a must-read for anyone looking to understand and harness the power of AI for business growth and to stay ahead of the curve. What You'll Learn Review the key concepts and technologies of AI, including machine learning, natural language processing, and computer vision Apply the benefits of AI, including increased efficiency, improved decision-making, and new revenue streams in different industries Integrate AI into existing systems and processes. Who This Book Is ForEntrepreneurs, business leaders, and professionals looking to leverage the power of AI to drive growth and success for their organizations.

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Get a head start on making your games efficiently by avoiding common design and development pitfalls. Video games combine art and programming; this unique position has opened up opportunities for many pitfalls. This book takes you through the fundamentals of game making and the usual mistakes and bad practices that can harm your games. We start with the common difficulties and challenges, ways to find the gaps, and game design. Next, we discuss game engines and other tools you need to choose while making a game, how you should choose them, and the design documents you need to make. We also cover simple but important tweaks in game mechanics as well as the look and feel of your game. We will also discuss conventions for naming, code structuring, project structuring, and coding. Your thought process will be guided in a way that you can look for the proper approach to make a successful game. The book sheds light upon how to improve the overall game experience and finalize the game for release. Along the journey, we will explore some interesting stories of games and mythology as well. By the end of the book, you will know about the basic life cycle of a game development process and how to not make a game. What You Will Learn Discover the fundamentals of game design See some intermediate coding tricks to make your games better Grasp the pitfalls to avoid while designing and programming games Master the different conventions and practices for file naming and structuring your projects Who This Book Is For People who want to make games. Basic programming experience is assumed.

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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 layer to 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 Learn Understand the layers of Dataverse and the features at each layer Create tables and relationships to store data and manage interactions Build applications to allow users to interact with your data using logical interfaces Design business logic and workflows to ensure data integrity and automation Configure security to control access to data and prevent unauthorized access Explore 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

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Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulationAuthor Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data.What You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is ForExperienced Python developers who need to learn about Pythonic tools for data analysis

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Know the fundamentals of creating and deploying microservices using .NET 6 and gain insight from prescriptive guidance in this book on the when and why to incorporate them.The microservices architecture is a way of distributing process workloads to independent applications. This distribution allows for the independent applications to scale and evolve separately. It also enables developers to dismantle large applications into smaller, easier-to-maintain, scalable parts. While the return is valuable and the concept straightforward, applying it to an application is far more complicated. Where do you start? How do you find the optimal dividing point for your app, and strategically, how should your app be parceled out into separate services?Pro Microservices in .NET 6 will introduce you to all that and more. The authors get you started with an overview of microservices, .NET 6, event storming, and domain-driven design. You will use that foundational information to build a reference application throughout the book. From there, you will create your first microservice using .NET 6 that you can deploy into Docker and Azure Kubernetes Service. You will also learn about communication styles, decentralizing data, and testing microservices. Finally, you will learn about logging, metrics, tracing, and use that information for debugging. What You Will Learn Build a foundation of basic microservices architecture design Follow an example of using event storming and domain-driven design to understand the monolithic application modified for microservices Understand, via detailed commands, how Docker is used to containerize applications Get an overview of creating microservices from a monolithic application Call microservices using RPC and messaging communication styles with MassTransit Comprehend decentralizing data and handling distributed transactions Use Azure Kubernetes Service to host and scale your microservices Know the methods to make your microservices more robust Discover testing techniques for RPC and messaging communication styles Apply the applications you build for actual use Practice cross-cutting concerns such as logging, metrics, and tracing Who This Book Is ForDevelopers and software architects. Readers should have basic familiarity with Visual Studio and experience with .NET, ASP.NET Core, and C#.

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Gain all of the techniques, teachings, tools, and methodologies required to be an effective first-time product manager. The overarching goal of this book is to help you understand the product manager role, give you concrete examples of what a product manager does, and build the foundational skill-set that will gear you towards a career in product management. To be an effective PM in the tech industry, you need to have a basic understanding of technology. In this book you’ll get your feet wet by exploring the skills a PM needs in their toolset and cover enough ground to make you feel comfortable in a technical discussion. A PM is not expected to have the same level of depth or knowledge as a software engineer, but knowing enough to continue the conversation can be a benefit in your career in product management.A complete product manager will have a 360-degree understanding of user experience and how to craft beautiful products that are easy-to-use, with the end user in mind. You’ll continue your journey with a walk through basic UX principles and even go through the process of building a simple set of UI frames for a mock app. Aside from the technical and design expertise, a PM needs to master the social aspects of the role. Acting as a bridge between engineering, marketing, and other teams can be difficult, and this book will dive into the business and soft skills of product management. After reading Product Management Essentials you will be one of a select few technically-capable PMs who can interface with management, stakeholders, customers, and the engineering team.What You Will Learn Gain the traits of a successful PM from industry PMs, VCs, and other professionals See the day-to-day responsibilities of a PM and how the role differs across tech companies Absorb the technical knowledge necessary to interface with engineers and estimate timelines Design basic mocks, high-fidelity wireframes, and fully polished user interfaces Create core documents and handle business interactions Who This Book Is ForIndividuals who are eyeing a transition into a PM role or have just entered a PM role at a new organization for the first time. They currently hold positions as a software engineer, marketing manager, UX designer, or data analyst and want to move away from a feature-focused view to a high-level strategic view of the product vision.

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Here is your in-depth guide to cryptography and cryptanalysis in Java. This book includes challenging cryptographic solutions that are implemented in Java 17 and Jakarta EE 10. It provides a robust introduction to Java 17's new features and updates, a roadmap for Jakarta EE 10 security mechanisms, a unique presentation of the "hot points" (advantages and disadvantages) from the Java Cryptography Architecture (JCA), and more. The book dives into the classical simple cryptosystems that form the basis of modern cryptography, with fully working solutions (encryption/decryption operations). Pseudo-random generators are discussed as well as real-life implementations. Hash functions are covered along with practical cryptanalysis methods and attacks, asymmetric and symmetric encryption systems, signature and identification schemes. The book wraps up with a presentation of lattice-based cryptography and the NTRU framework library. Modern encryption schemes for cloud and big data environments (homomorphic encryption and searchable encryption) also are included. After reading and using this book, you will be proficient with crypto algorithms and know how to apply them to problems you may encounter. What You Will Learn Develop programming skills for writing cryptography algorithms in Java Dive into security schemes and modules using Java Explore “good” vs “bad” cryptography based on processing execution times and reliability Play with pseudo-random generators, hash functions, etc. Leverage lattice-based cryptography methods, the NTRU framework library, and more Who This Book Is For Those who want to learn and leverage cryptography and cryptanalysis using Java. Some prior Java and/or algorithm programming exposure is highly recommended.

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Social impact communication is quickly become a mandatory skill for leaders of modern businesses and nonprofits, at all levels of an organization. Yet using strategy, language and influence to advance game-changing societal breakthroughs isn’t something most people learn in college. This book provides a pathway for empathy, clarity and persuasive communication to advance the social impact work that can help people, their families and society.Too often, workplaces leave these essential capabilities to chance or trust osmosis to do the work. These aren’t skills you can learn in a classroom. They must be learned while actively engaged in the work of social impact leadership. Too many organizations treat social impact communication and programmatic leadership as “just another marketing project.” It’s a tremendous missed opportunity for businesses seeking to add value to society and deepen their client/customer relationships. What’s more, it directly damages other aspects of organizations’ ESG priorities— specifically, their cultivation of a healthy, safe and engaged workplace with team members whose personal values and professional activities are in harmony.Journalist and social impact business executive Nate Birt walks you through the essential mindset shifts and principles needed perform the social impact work that matters and have confidence your headed toward true north. The book includes firsthand insights, how-to strategies and social impact leadership anecdotes, along with insights and tips from dozens of social impact communicators whose perspective will provide you with real-world validation, strategies and encouragement. Each chapter includes a call for personal reflection or action that features a series of question-based prompts to encourage further introspection and journaling. At the end of the book, you'll get access to other resources to continue the conversation and professional development in the area of social impact communication.What You'll Learn Understand what makes social impact communication fundamentally different from conventional advertising, journalism or marketing See why social impact communication requires translational communication capabilities within an organization, across partner stakeholders, and with external audiences, clients and customers. Examine how social impact communication cultivates more engaged leaders and teams by unlocking the power of team members’ individual values and personal purpose Who This Book Is ForSocial-impact executives and their teams in corporate or non-profit settings; non-ESG-focused executives seeking to better understand social impact and associated leadership/management strategies; college or university students seeking to specialize in social impact leadership; think-tank leaders, policymakers or others whose work intersects with social impact disciplines and decision-making.

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Learn to write SQL queries to select and analyze data, and improve your ability to manipulate data. This book will help you take your existing skills to the next level. Author Mark Simon kicks things off with a quick review of basic SQL knowledge, followed by a demonstration of how efficient SQL databases are designed and how to extract just the right data from them. You’ll then learn about each individual table’s structure and how to work with the relationships between tables. As you progress through the book, you will learn more sophisticated techniques such as using common table expressions and subqueries, analyzing your data using aggregate and windowing functions, and how to save queries in the form of views and other methods. This book employs an accessible approach to work through a realistic sample, enabling you to learn concepts as they arise to improve parts of the database or to work with the data itself. After completing this book, you will have a more thorough understanding of database structure and how to use advanced techniques to extract, manage, and analyze data. What Will You Learn Gain a stronger understanding of database design principles, especially individual tables Understand the relationships between tables Utilize techniques such as views, subqueries, common table expressions, and windowing functions Who Is This Book For: SQL Databases users who want to improve their knowledge and techniques.

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Build and implement trading strategies using Python. This book will introduce you to the fundamental concepts of quantitative trading and shows how to use Python and popular libraries to build trading models and strategies from scratch. It covers practical trading strategies coupled with step-by-step implementations that touch upon a wide range of topics, including data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning, all coupled with practical examples in Python.Part one of Quantitative Trading Strategies with Python covers the fundamentals of trading strategies, including an introduction to quantitative trading, the electronic market, risk and return, and forward and futures contracts. Part two introduces common trading strategies, including trend-following, momentum trading, and evaluation process via backtesting. Part three covers more advanced topics, including statistical arbitrage using hypothesis testing, optimizing trading parameters using Bayesian optimization, and generating trading signals using a machine learning approach. Whether you're an experienced trader looking to automate your trading strategies or a beginner interested in learning quantitative trading, this book will be a valuable resource. Written in a clear and concise style that makes complex topics easy to understand, and chock full of examples and exercises to help reinforce the key concepts, you’ll come away from it with a firm understanding of core trading strategies and how to use Python to implement them.What You Will Learn Master the fundamental concepts of quantitative trading Use Python and its popular libraries to build trading models and strategies from scratch Perform data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning for trading strategies using Python Utilize common trading strategies such as trend-following, momentum trading, and pairs trading Evaluate different quantitative trading strategies by applying the relevant performance measures and statistics in a scientific manner during backtesting Who This Book Is ForAspiring quantitative traders and analysts, data scientists interested in finance, and researchers or students studying quantitative finance, financial engineering, or related fields.

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This book provides a comprehensive learning journey aimed at helping you master Ansible and efficiently automate a range of enterprise network devices, such as routers, switches, firewalls, Wireless LAN Controller (WLC), and Linux servers. Introduction to Ansible Network Automation combines the fundamentals of three books into one, covering basics of Linux administration, Ansible concepts, and Ansible network automation. Authors Brendan Choi and Erwin Medina have created a structured learning path that starts with the fundamentals and allows you to progressively enhance your skill sets with each chapter. Part I serves as an Ansible primer, guiding you through Linux basics using WSL on Windows 11 and assisting in the setup of your learning environment. Part II covers essential Ansible concepts through practical lab activities involving four Linux servers. In Part III, you will learn how to apply your Linux skills from Part I and the concepts from Part II to real-world scenarios by creating Ansible automation YAML scripts. What sets this book apart is its unique focus on Ansible and Network Automation, combined with a strong emphasis on understanding Linux. It is specifically designed for novice network automation engineers and students, assuming no prior Linux expertise, and provides first-hand experience starting from scratch. It also offers practical insights by sharing real-life examples of Ansible playbooks derived from production enterprise infrastructure, allowing you to gain an understanding of how Ansible can be effectively applied in real-world enterprise network environments. Upon completion of this book, you will have developed foundational skills in Ansible network automation and general Linux administration, and will understand how to apply this newly acquired knowledge to real-life scenarios. What You Will Learn Develop a comprehensive understanding of Ansible and its essential concepts for automating enterprise network devices and applying them to real-world scenarios Master the basics of Ansible operations within Linux automation and progress to applying Ansible concepts specifically to network device automation Execute Ansible ad-hoc commands and playbooks for a range of network operational tasks, including configuration management, software and system updates, and upgrades Work with real-life examples of Ansible playbooks derived from actual enterprise infrastructure, gaining practical experience in writing Ansible YAML scripts Acquire the skills to automate network operations using Ansible, streamline network management processes, and replace manual-driven tasks with directives in Ansible playbooks Who is This Book For Network, security, UC and systems engineers, as well as technical leaders, IT managers and network students.

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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? You’ll 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. You’ll be empowered with a deeper understanding of iOS design patterns and the industry knowledge necessary to take their features from idea to production. You’ll 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 Learn Apply computer science and engineering fundamentals to the iOS platform Implement knowledge of iOS architecture and best practices at large-scale companies Identify current gaps in your product and gain alignment within the broader organization Solve problems with knowledge of systems architecture and industry best practices to identify and address gaps in your codebase Who 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.

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This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies. AI offers the ability to solve many problems today if implemented correctly and responsibly. This book helps you avoid negative impacts – that in some cases have caused loss of life – and develop models that are fair, transparent, safe, secure, and robust.The approach in this book raises your awareness of the missteps that can lead to negative outcomes in AI technologies and provides a Responsible AI framework to deliver responsible and ethical results in ML. It begins with an examination of the foundational elements of responsibility, principles, and data. Next comes guidance on implementation addressing issues such as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers. What You Will Learn Build AI/ML models using Responsible AI frameworks and processes Document information on your datasets and improve data quality Measure fairness metrics in ML models Identify harms and risks per task and run safety evaluations on ML models Create transparent AI/ML models Develop Responsible AI principles and organizational guidelines Who This Book Is ForAI and ML practitioners looking for guidance on building models that are fair, transparent, and ethical; those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms; policy makers planning to craft laws, policies, and regulations that promote fairness and equity in automated algorithms

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Global surveys from McKinsey, BCG, Gartner, and others show that less than 30% of digital transformation programs succeed in their missions to improve a company’s performance and employee productivity. This is due to the fact that IT efforts within the company do not center around the employee. This book will provide concrete steps to allow both IT professionals and business leaders to transform the way they deliver IT to employees – with the employee (the human) centered in their transformation.The concepts, models, checklists, and playbook you'll review are based on the author's many years of experience, lessons learned, and proven outcomes. IT organizations want to improve their employee experience but don’t know how and this is the “must have” book for those who don’t know where to start. More than two-thirds of today’s jobs require good digital and IT skills from employees. The expectations of management, who invest in these big digital transformations, is that the employees will become more productive, effective and help the bottom line. However, this can only happen through active and proactive change of IT operations and transformations that center the employee, rather than technology or senior management. This book reveals the benefit of moving towards an approach where employees gain technology aptitude, are up for technology change, and are willing to learn more for their benefit and even provide feedback on ways to improve these tools, trainings and support. You'll see how employee engagement and experience research, concepts, and implementations are growing rapidly across many organizations and taking a key role in their global strategies. Employee-centric IT will transform employees to own their digital literacy and development, and this in turn reduces or even eliminates the shadow IT need and allows the organization to drive and implement successful digital transformation.What You'll Learn Understand the value of being employee-centric in IT departments versus current models Take steps to win IT team’s acceptance of the changes needed to achieve employee-centricity Be proactive in providing training & information on digital & productivity tools Who This Book Is ForBusiness leaders, IT and digital leaders as well as IT employees who would like to transform their current IT and Digital teams to be more employee centric and drive highest level of value, adoption and satisfaction for their IT/digital programs, transformations and investment.

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Review topics ranging from Intel x64 assembly language instructions and writing programs in assembly language, to pointers, live debugging, and static binary analysis of compiled C and C++ code. This book is ideal for Linux desktop and cloud developers. Using the latest version of Debian, you’ll focus on the foundations of the diagnostics of core memory dumps, live and postmortem debugging of Linux applications, services, and systems, memory forensics, malware, and vulnerability analysis. This requires an understanding of x64 Intel assembly language and how C and C++ compilers generate code, including memory layout and pointers. This book provides the back­ground knowledge and practical foundations you’ll need in order to master internal Linux program structure and behavior. It consists of practical step-by-step exercises of increasing complexity with explanations and ample diagrams. You’ll also work with the GDB debugger and use it for disassembly and reversing. By the end of the book, you will have a solid understanding of how Linux C and C++ compilers generate binary code. In addition, you will be able to analyze such code confidently, understand stack memory usage, and reconstruct original C/C++ code. Foundations of Linux Debugging, Disassembling, and Reversing is the perfect companion to Foundations of ARM64 Linux Debugging, Disassembling, and Reversing for readers interested in the cloud or cybersecurity.What You'll Learn Review the basics of x64 assembly language Examine the essential GDB debugger commands for debugging and binary analysis Study C and C++ compiler code generation with and without compiler optimizations Look at binary code disassembly and reversing patterns See how pointers in C and C++ are implemented and used Who This Book Is ForSoftware support and escalation engineers, cloud security engineers, site reliability engineers, DevSecOps, platform engineers, software testers, Linux C/C++ software engineers and security researchers without Intel x64 assembly language background, beginners learning Linux software reverse engineering techniques, and engineers coming from non-Linux environments.

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Test Automation is a key aspect of delivering high-quality software and reducing time to market. Several tools and approaches are available today, each with its own constraints and specificity. This book introduces Boozang, a codeless web automation tool, using a real-life enterprise project as source for examples. You'll have the opportunity to learn the basic features of Boozang and how to implement end-to-end automated scenarios, mixing GUI and API actions. Integration with JIRA-XRay and Jenkins is also covered to show how Boozang can be used effectively in an enterprise environment. The book is filled with examples that go beyond the Boozang tool, and cover the setup of a test automation project in a real context, with practical solutions as well as open points for which we are still looking for new ideas. You will learn how to:· Install and set up a project with Boozang· Create a modular test suite and use Gherkin to define scenarios· Integrate Boozang with JIRA-XRay and work in a team with code branches· Build a Jenkins pipeline to execute the automated scenarios nightly and reduce the execution time via parallelism This Book is for: Testers and test managers, IT projects leads, Release and Delivery Managers, Developers, and Business Analysts

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Overhaul your debugging techniques and master the theory and tools needed to debug and troubleshoot cloud applications in production environments. This book teaches debugging skills that universities often avoid, but that typically consume as much as 60% of our time as developers. The book covers the use of debugger features such as tracepoints, object marking, watch renderers, and more. Author Shai Almog presents a scientific approach to debugging that is grounded in theory while being practical enough to help you to chase stubborn bugs through the maze of a Kubernetes deployment.Practical Debugging at Scale assumes a polyglot environment as is common for most enterprises, but focuses on JVM environments. Most of the tooling and techniques described are applicable to Python, Node, and other platforms, as well as to Java and other JVM languages. The book specifically covers debugging in production, an often-neglected discipline but an all too painful reality. You’ll learn modern techniques around observability, monitoring, logging, and full stack debugging that you can put to immediate use in troubleshooting common ailments in production environments. You Will Learn: The scientific method underlying the process of debugging Debugger capabilities such as tracepoints and marker objects The correct use of less understood features such as exception breakpoints Techniques for tracing issues in production Kubernetes environments Observability and monitoring to resolve production problems Industry best practices for common tooling such as logging Profiling to understand performance and memory problems Who This Book Is ForDevelopers in Java and JVM-related languages who want to improve their debugging skills and production reliability; and developers of cloud applications who are facing the pain of production bugs that are hard to replicate and fix

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Leverage the power of Svelte to quickly produce the foundations of a framework-agnostic component library that can extend and develop over time. This is a project-oriented book that simplifies setting up the skeleton of the library and adding components, using little more than a text editor or free software. You'll gain a starting baseline that can be used to develop future projects or incorporated into an existing workflow. You'll take development to the next level and can use this knowledge to create components with any framework, such as React, Angular or Vue.js, not just Svelte. Developing Web Components with Svelte is an excellent resource for getting acquainted with creating and maintaining a component library using a phased approach. It takes the view that you don't have to create something complex and unwieldy. Instead, you can start building something quickly, then extend it as needs dictate over time, without sacrificing speed or features. You'll see how to develop cleaner components in a quick, clear and straightforward way. The components you create in this project can be made available in one of the world's most extensive component ecosystems to be usable by other frameworks, making them genuinely reusable. In short, Svelte offers plenty of opportunities as it is based on Node.js and JavaScript making Svelte a powerful package to work from.What You'll Learn Use the Svelte framework to rapidly create and deploy the foundation of a component library that is versatile and performant Review developing and customizing components based on our needs Work through a real-world project to help solidify skills learned from the book and put them into practice Who This Book Is For Website developers, familiar with JavaScript, who are keen to learn how to leverage the Svelte framework fast Agile development teams, where time is of the essence, and the pressure is on to deliver results quickly Developers who want to focus on simplicity, to produce efficient and optimized content in modern browsers using tools readily available

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Journey into the world of Web3-based application development, its related protocols, and its usage in developing decentralized applications. This book will explain how programmable blockchains are revolutionizing the world of web applications, which can be run on decentralized platforms or peer-to-peer networks like IPFS.You'll start with an introduction to decentralization with a focus on blockchain implementations like Ethereum and Bitcoin. You'll then learn to develop simple decentralized applications (dApps) using Solidity, the language used for developing apps with Ethereum as well as smart contracts, wallets, gateways and NFTs. This book also covers how security and scale are addressed by L2 networks for scaling Bitcoin and Ethereum blockchains. A Brief Introduction to Web3 is your go-to guide for setting up simple Web3 applications using the Ethereum blockchain programming model.What You Will Learn Build NFT tokens Examine Web3 differs from Web2-based applications Understand the fundamentals of blockchain and the corresponding data structures around it See how consensus and trustless computing can be performed using blockchain Use Solidity and Truffle to build Web3 applications Who This Book Is For Software developers and architects who are looking to hone their skills in dApps and web3 applications developed on sound principles of decentralized computing.

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Completely updated for this exciting third edition, Beginning Ubuntu for Windows and Mac Users will help you start your journey into Free and Open Source Software with Ubuntu 22.04.1 LTS with GNOME 42.This book is a friendly guide to installing and running Ubuntu for people who are already efficient and happy with Windows or macOS computers. It teachers new Ubuntu users how to navigate their new operating system, perform basic tasks and suggests specific applications to handle routine tasks.You'll start by installing Ubuntu and its related “flavors” (Kubuntu, Ubuntu MATE, etc.) and how they differ from each other. The rest of the book breaks down application suggestions by broad categories to fill in gaps in the default installed system, or suggest fun things that the reader might not have even thought of. The command line is handled after you are comfortable with the system and ready for something interesting but different. It's presented as a powerful interface that can either be approached casually as a unique method of interacting with the computer, as an occasional tool to use, or as a fun way to get in touch with an early way of using a computer.A brief look at “power user” topics gives advice on managing running processes, installing alternate desktop software, using virtual desktops and creating virtual machines. It’s a great way to round off the book with starting points for advanced topics that are more specialty topics. An appendix describes the Ubuntu release schedule, naming, and timing.The book is designed to function as a “travel guide” to Ubuntu, offering both a scenic tour through some of the great software in Ubuntu in a practical “here’s what you can do with this” style as well as a comprehensive reference guide that the reader can return to over and over to learn how to accomplish specific tasks. What You'll Learn Understand the advantages of Ubuntu and its variants—Kubuntu and Xubuntu Install Ubuntu on its own or alongside your computer's existing operating system Search Ubuntu's catalog of thousands of applications Work with files and disks that were created with Windows and OS X Run simple, interesting tasks and games using the command line Customize Ubuntu in powerful ways and get work done with virtual machines Who This Book Is ForBeginning to intermediate computer users with Windows 7 or OS X or later experience

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Access all the information you need to begin using the MySQL Database Service (MDS) in the Oracle Cloud Infrastructure (OCI). MDS is Oracle’s new platform as a service (PAAS) offering for open-source database users. This book covers getting started with an account in OCI, gives a brief overview of OCI services available, and provides a short tutorial on MDS. Reading this book helps you take advantage of the powerful OCI features by building your own MySQL database in the cloud. Examples in this book center around running MDS in OCI, and include several of the popular use cases as well as advice on how to implement them. In addition, you will learn more about the related MDS OCI features, such as the high availability features currently available. Finally, you will learn how to back up and restore your data as well as how to get your data into and out of the cloud. The skills you learn in this book will help you get started using MDS and letting Oracle do the heavy lifting of managing MDS operations and implementation.What You Will Learn Use Oracle Cloud Infrastructure (OCI) Deploy MySQL Database Service (MDS) systems in the cloud Connect your applications to MDS Back up and recover using the data recovery features of MDS Employ the newest high availability features of MDS Who This Book Is ForSystems engineers, developers, and database professionals who want to learn about the powerful features of the MySQL Database Service (MDS) and how to incorporate cloud-based database storage into their infrastructure and applications. Readers who are new to MySQL will appreciate the tutorial chapter, and those familiar with MySQL will learn the latest features of MDS as well as how to build inexpensive, powerful MySQL database servers in the Oracle Cloud Infrastructure (OCI).

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This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. You’ll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book, you’ll explore unsupervised learning frameworks that reflect the current state of deep learning methods, such as autoencoders and variational autoencoders. The final chapter covers the advanced topic of generative adversarial networks and their variants, such as cycle consistency GANs and graph neural network techniques such as graph attention networks and GraphSAGE. Upon completing this book, you will understand the mathematical foundations and concepts of deep learning, and be able to use the prototypes demonstrated to build new deep learning applications. What You Will Learn Understand full-stack deep learning using TensorFlow 2.0 Gain an understanding of the mathematical foundations of deep learning Deploy complex deep learning solutions in production using TensorFlow 2.0 Understand generative adversarial networks, graph attention networks, and GraphSAGE Who This Book Is For: Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts.

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This is a crisp, practical, and hands-on guide to moving mission-critical workloads to Azure. This book focuses on the process and technology aspects of Azure security coupled with pattern-oriented, real-world examples. You will implement modernized security controls, catering to the needs of authentication, authorization, and auditing, thereby protecting the confidentiality and integrity of your infrastructure, applications, and data.The book starts with an introduction to the various dimensions of cloud security, including pattern-based security and Azure's defense security architecture. You will then move on to identity and access management with Azure Active Directory. Here, you will learn the AAD security model, application proxy, and explore AAD B2B and B2C for external partners. Network security patterns and infrastructure security patterns are discussed next, followed by application and data security patterns. Finally, you will learn how to set up security policies and work with Azure Monitor and Azure Sentinel, and to create leadership support and training for a rigorous security culture.After completing this book, you will understand and be able to implement reusable patterns for mission critical workloads, standardizing and expediting the move of those workloads to Azure.What Will You Learn Understand security boundaries required to implement Azure's defense-in-depth security architecture Understand Azure Active Directory security model Master design patterns relating to network, infrastructure, and software Automate security monitoring with advanced observability and gain practical insights on how this can be implemented with Azure Monitor and Azure Sentinel Who Is This Book ForDevelopers and IT consultants/architects who are working on Azure.

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Learn how to automate processes, visualize your data, and improve productivity using Power Apps, Power Automate, Power BI, SharePoint, Forms, Teams, and more. This book will help you build complete solutions that often involve storing data in SharePoint, creating a front-end application in Power Apps or Forms, adding additional functionality with Power Automate, and effective reports and dashboards in Power BI. This new edition greatly expands the focus on Power Apps, Power BI, Power Automate, and Teams, along with SharePoint and Microsoft Forms. It starts with the basics of programming and shows how to build a simple email application in .NET, HTML/JavaScript, Power Apps on its own, and Power Apps and Power Automate in combination. It then covers how to connect Power Apps to SharePoint, create an approval process in Power Automate, visualize surveys in Power BI, and create your own survey solution with the combination of a number of Microsoft 365 tools. You’ll work with an extended example that shows how to use Power Apps and SharePoint together to create your own help ticketing system. This book offers a deep dive into Power BI, including working with JSON, XML, and Yes/No data, as well as visualizing learning data and using it to detect inconsistencies between Excel files. You’ll also see how to connect to Remedy and to the help system you will have created. Under author Jeffrey Rhodes’s guidance, you’ll delve into the Power Apps collection to learn how to avoid dreaded "delegation" issues with larger data sets. Back on applications, you will create a training class sign-up solution to only allow users to choose classes with available seats. Digging deeper into Teams, you’ll learn how to send chats, posts, and "adaptive cards" from Power Automate. Rounding things out, you’ll save Forms attachments to SharePoint with Power Automate, create your own "Employee Recognition" app with all of the Power Platform and Teams, add or edit weekly status reports, and learn how to create reservation and scoring applications. After reading the book, you will be able to build powerful applications using Power Apps, Power Automate, Power BI, SharePoint, Forms, and Teams. What You Will Learn Create productivity-enhancing applications with Power Apps, Power Automate, SharePoint, Forms, and/or Teams Transform and visualize data with Power BI to include custom columns, measures, and pivots Avoid delegation issues and tackle complicated Power Apps issues like complex columns, filtering, and ForAll loops Build scheduled or triggered Power Automate flows to schedule Teams Meetings, send emails, launch approvals, and much more Who This Book Is For Business and application developers.

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This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you’ll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You’ll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The book is intended for those whose role demands overcoming budgetary barriers or constraints in accessing cloud credits to undertake the often difficult process of developing and deploying an AI solution. What You Will Learn Develop and deliver production-grade AI in one month Deploy AI solutions at a low cost Work around Big Tech dominance and develop MVPs on the cheap Create demo-ready solutions without overly complex python scripts/notebooks Who this book is for: Data scientists and AI consultants with programming skills in Python and driven to succeed in AI.

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Use the popular Spring Data project for data access and persistence using various Java-based APIs such as JDBC, JPA, MongoDB, and more. This book shows how to easily incorporate data persistence and accessibility into your microservices, cloud-native applications, and monolithic enterprise applications. It also teaches you how to perform unit and performance testing of a component that accesses a database. And it walks you through an example of each type of SQL and NoSQL database covered. After reading this book, you’ll be able to create an application that interacts with one or multiple types of databases, and conduct unit and performance testing to analyze possible problems. Source code is available on GitHub.What You’ll Learn Become familiar with the Spring Data project and its modules for data access and persistence Explore various SQL and NoSQL persistence types Uncover the persistence and domain models, and handle transaction management for SQL Migrate database changes and versioning for SQL Dive into NoSQL persistence with Redis, MongoDB, Neo4j, and Cassandra Handle reactive database programming and access with R2DBC and MongoDB Conduct unit, integration, and performance testing, and more Who This Book Is ForExperienced Java software application developers; programmers with experience using the Spring framework or the Spring Boot micro framework

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Learn the Spring Boot 3 micro framework and build your first Java-based cloud-native applications and microservices. Spring Boot is the lightweight, nimbler cousin to the bigger Spring Framework, with plenty of "bells and whistles." This updated edition includes coverage of Spring Native, which will help you speed up your Spring Boot applications, as well as messaging with Spring Boot, Spring GraphQL, Spring Data JDBC and reactive relational database connectivity (R2DBC) with SQL. This new edition also covers enhancements to actuator endpoints, MongoDB 4.0 support, layered JAR and WAR support, support to build OCI images using Cloud Native Build Packs, changes to the DataSource initialization mechanism, and how bean validation support has moved to a separate spring-boot-validation-starter module. This book will teach you how to work with relational and NoSQL databases for data accessibility using Spring Boot with Spring Data, how to persist data with the Java Persistence APIs (JPA), MyBatis, and much more. You'll learn how to enhance your native cloud or web applications with other APIs such as REST and how to build reactive web applications using Spring Boot with WebFlux. Finally, you'll learn how to test applications using JUnit 5, as well as how to secure and deploy your application or service to cloud providers like Heroku. After reading Beginning Spring Boot 3, you'll have the skills needed to start building your own Spring Boot cloud-native, Java-based applications and microservices with confidence, and to take the next steps in your career. What You Will Learn Explore the Spring Boot 3 micro framework using Spring Native for faster, better performance Build cloud-native Java applications and microservices with Spring Boot Work with relational and NoSQL databases using Boot with Spring Data Create reactive web applications using Spring's WebFlux Secure, test, and deploy applications and services Who This Book Is For IT professionals such as cloud architects, infrastructure administrators, and network/cloud operators

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There are few books in the market that talk about the effort within and outside of the job that helps software engineers advance in their careers. This book is a truthful and introspective look at technical careers and a consolidation of that information and advice for engineers that are looking to elevate their career to the senior level. While charting a path to becoming a senior software engineer you'll study how to handle the obligations and complexities involved in that role. While most of the software engineer job is exploratory and involves learning new things nearly every day, this book will show you how to be a manager, a leader, and to achieve seniority in your tech role. From learning how to optimize your resume to knowing how to interview for positions on your team to helping your team grow and develop their own skills and career, this is a book that all software engineers need. What You'll Learn Optimize your resume for applications Standard tips for interviewing in software engineer positions Become a mentor and leader at your job Who This Book Is ForEntry to mid-level software engineers working in a corporate environment

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Gain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google. Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go. As the complexity of cloud technology increases, so does the need for people to understand how things work under-the-hood and to fix them when they’re broken. What You Will Learn Understand how the various components of a container-based system works Tackle complex technical issues using Go Integrate tools that can be used as part of your daily operational needs Build system-based products Who This Book Is For Developers and Engineers familiar with Go who want to know how different parts of the system work and who want to write command line tools. It will also be beneficial to programmers who already have a system-level understanding and want to use Go to build tools for existing projects and applications.

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Know how Serverless and cloud-native systems work, their benefits and roles in automating and optimizing organizations, and the challenges to be considered. Anyone interested in Serverless architecture will benefit from this book, regardless of their level of technical understanding. This revised and expanded new edition explains many related terms, such as microservices, cloud-native, architecture, several relevant AWS services, and how it all works together to produce cost-effective, scalable solutions in the cloud. The book starts at a high level and gradually gets more in-depth and technical.The less technical decision maker will learn how Serverless can affect finance, security, people, and compliance. The book touches on important decisions, such as selecting and working with external or internal specialists and teams; finding, evaluating, and training them; and the flexibility and dynamics available within digital projects. Deployment automation and DevOps also feature heavily in this book, and you will find real-world use cases and examples of Serverless architecture to get you started. It's worth noting that this book is not a development guide; it gives you a comprehensive understanding of what Serverless is so you can make informed decisions for your organization and projects. What You’ll Learn Understand Serverless architecture and strategy Understand modern cloud management strategy, governance, and organizational team structure Handle budget planning and management Get started with Serverless architecture design Gain knowledge of best practices and security, as well as data management and DevOps Study proactive logging, operations, architecture examples, case studies, and more Who This Book Is For Anyone interested in a deep understanding of Serverless and how it can impact organizations and projects, regardless of their technical level. Strategic insights are provided for entrepreneurs and executives, planning and team insights for project managers, and technical insights for architects and team leads. Cloud consultants working with enterprises can read everything for a full, in-depth understanding of the topic. Other readers, such as less technical CTOs/CIOs, VPs, entrepreneurs, product owners, project managers, etc., can get what they need from the first 5-7 chapters. More technical readers and those experienced with Serverless can skim through the first 3 chapters and start with the security deep dive in Chapter 4.

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This book introduces the Kotlin programming skills and techniques necessary for building applications. You'll learn how to migrate your Java programming skills to Kotlin, a Java Virtual Machine (JVM) programming language.The book starts with a quick tour of the Kotlin language and gradually walks you through the language in greater detail over the course of succeeding chapters. You’ll learn Kotlin fundamentals like generics, functional programming, type system, debugging, and unit testing. Additionally, with the book’s freely downloadable online appendices, you’ll discover how to use Kotlin for building Spring Boot applications, data persistence, and microservices. What You Will Learn Learn the Kotlin language, its functions, types, collections, generics, classes, and more Dive into higher-order functions, generics, debugging, and unit testing Apply the fundamentals of Kotlin to Spring Boot Add Hibernate to your Spring Boot application for persistence and data accessibility Take advantage of functional programming available in Kotlin Who This Book Is ForJava developers who are new to Kotlin and want to leverage Kotlin, particularly for building Spring Boot apps.

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Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding.You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You’ll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions.The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments.What You'll Learn Understand operating system automation with Python Package Python applications Use Python as a DevOps console Review Cloud automation with Python Who This Book Is ForDevOps engineer. Site Reliability Engineer, or similar (including Platform, Production, and Systems), and whose organization uses Python.

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Learn Tableau by working through concrete examples and issues that you are likely to face in your day-to-day work. Author Shankar Arul starts by teaching you the fundamentals of data analytics before moving on to the core concepts of Tableau. You will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations. As the book progresses, you’ll be walked through comparisons and trend calculations using tables. A concluding chapter on dashboarding will show you how to build actionable dashboards to communicate analysis and visualizations. You’ll also see how Tableau can complement and communicate with Excel. After completing this book, you will be ready to tackle the challenges of data analytics using Tableau without getting bogged down by the technicalities of the tool. What Will You Learn Master the core concepts of Tableau Automate and simplify dashboards to help business users Understand the basics of data visualization techniques Leverage powerful features such as parameters, table calculations, level of detail expressions, and more Who is This book For Business analysts, data analysts, as well as financial analysts.

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Best-selling author Adam Freeman explains how to get the most from Go, starting from the basics and building up to the most advanced and sophisticated features. You will learn how Go builds on a simple and consistent type system to create a comprehensive and productive development experience that produces fast and robust applications that run across platforms. Go, also known as Golang, is the concise and efficient programming language designed by Google for creating high-performance, cross-platform applications. Go combines strong static types with simple syntax and a comprehensive standard library to increase programmer productivity, while still supporting features such as concurrent/parallel programming. Each topic is covered in a clear, concise, no-nonsense approach that is packed with the details you need to learn to be truly effective. Chapters include common problems and how to avoid them. What You Will Learn Gain a solid understanding of the Go language and tools Gain in-depth knowledge of the Go standard library Use Go for concurrent/parallel tasks Use Go for client- and server-side development Who This Book Is For Experienced developers who want to use Go to create applications

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Learn to quickly set up Protractor and dive into the amazing possibilities that this tool offers for automating browser interactions for a user for any Angular web application. Software testing is here to stay, and an integral part of this is test automation. Protractor is one of the most evolved test automation frameworks that every software testing professional working with an Angular application should know.You will to automate a vast range of actions that a user takes to interact with the browser. From a simple ‘click’ to more complex user actions such as frame switches, selecting from drop-downs, and file downloads using Protractor APIs for Angular-based websites. You will also learn about assertions, timeouts, waits, parallel testing frameworks that are available, and the general pros and cons you should be aware of. With over 150 working code samples demonstrating various test scenarios that you require in your day-to-day automation testing, and examples that may be given in interviews, this book will be your practical handbook to all the key Protractor API implementations. What You'll Learn Set up and install Protractor efficiently Implement Angular-specific locator strategies Automate Angular web pages Run parallel execution using Protractor Explore all the pros, cons and challenges you may face while using Protractor Use specific notes around each API to ensure optimum usage and avoid common mistakes Who This Book Is For Ideal for test engineers who have a basic understanding of test automation with Selenium, developers who want to implement this testing tool for internal testing, Test Managers/IT Project Managers who want to get some general understanding of this tool and its advantages, and students who want to pursue career in test automation.

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Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. The book begins with text data collection, web scraping, and the different types of data sources. It explains how to clean and pre-process text data, and offers ways to analyze data with advanced algorithms. You then explore semantic and syntactic analysis of the text. Complex NLP solutions that involve text normalization are covered along with advanced pre-processing methods, POS tagging, parsing, text summarization, sentiment analysis, word2vec, seq2seq, and much more. The book presents the fundamentals necessary for applications of machine learning and deep learning in NLP. This second edition goes over advanced techniques to convert text to features such as Glove, Elmo, Bert, etc. It also includes an understanding of how transformers work, taking sentence BERT and GPT as examples. The final chapters explain advanced industrial applications of NLP with solution implementation and leveraging the power of deep learning techniques for NLP problems. It also employs state-of-the-art advanced RNNs, such as long short-term memory, to solve complex text generation tasks. After reading this book, you will have a clear understanding of the challenges faced by different industries and you will have worked on multiple examples of implementing NLP in the real world.What You Will Learn Know the core concepts of implementing NLP and various approaches to natural language processing (NLP), including NLP using Python libraries such as NLTK, textblob, SpaCy, Standford CoreNLP, and more Implement text pre-processing and feature engineering in NLP, including advanced methods of feature engineering Understand and implement the concepts of information retrieval, text summarization, sentiment analysis, text classification, and other advanced NLP techniques leveraging machine learning and deep learning Who This Book Is ForData scientists who want to refresh and learn various concepts of natural language processing (NLP) through coding exercises

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Use this hands-on guide book to learn and explore cognitive APIs developed by Microsoft and provided with the Azure platform. This book gets you started working with Azure Cognitive Services. You will not only become familiar with Cognitive Services APIs for applications, but you will also be exposed to methods to make your applications intelligent for deployment in businesses.The book starts with the basic concepts of Azure Cognitive Services and takes you through its features and capabilities. You then learn how to work inside the Azure Marketplace for Bot Services, Cognitive Services, and Machine Learning. You will be shown how to build an application to analyze images and videos, and you will gain insight on natural language processing (NLP). Speech Services and Decision Services are discussed along with a preview of Anomaly Detector. You will go through Bing Search APIs and learn how to deploy and host services by using containers. And you will learn how to use Azure Machine Learning and create bots for COVID-19 safety, using Azure Bot Service.After reading this book, you will be able to work with datasets that enable applications to process various data in the form of images, videos, and text.What You Will Learn Discover the options for training and operationalizing deep learning models on Azure Be familiar with advanced concepts in Azure ML and the Cortana Intelligence Suite architecture Understand software development kits (SKDs) Deploy an application to Azure Kubernetes Service Who This Book Is ForDevelopers working on a range of platforms, from .NET and Windows to mobile devices, as well as data scientists who want to explore and learn more about deep learning and implement it using the Microsoft AI platform

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The need for every professional to have a solid presence on the Internet is more important than ever before. Having a presence beyond an email account, such as a custom web page or web application, usually requires a clumsy assortment of outside services or hiring a dedicated administrator. Thus it is more sensible for the average professional to become adept at managing their own private server. In Set Up and Manage Your Virtual Private Server, author Jon Westfall expertly designs interesting, understandable lessons for professionals such as teachers, doctors, lawyers, and more to deploy their own virtual private server. He walks you through choosing the right service and customizing it for your specific business or personal needs, and does this with great ease while instilling invaluable knowledge. Basics such as setting up users, managing security and firewalls, installing and updating software, and troubleshooting by reviewing log files, backing up data, and so much more. Set Up and Manage Your Virtual Private Server equips you with the power of knowledge to set your web presence apart from the rest. You now have complete control over your virtual brand that is your own—separate from any employer or affiliate. Your career mobility is in your hands with the ability to run your own private server at your fingertips. The digital era centers this technical literacy and independence as a critical skillset.What You Will Learn Understand basic server terminology and the way servers operate and are networked together See how software is used on a server and its role (for example, Linux, Apache, MySQL, PHP, and so on) Get comfortable with the basic command-line operation of a virtual private server to set up users, manage security and firewalls, install software, update software, and troubleshoot by reviewing log files Store and back up important information Identify, analyze, and deploy open-source software products that can enhance productivity Who This Book Is ForNon-tech professionals, individuals who have an established professional career, looking to understand more about how to set up and manage a private server.

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