Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key Features Explore Amazon QuickSight, manage data sources, and build and share dashboards Learn best practices from an AWS certified big data solutions architect Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrail Book DescriptionAmazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table - but sadly, there aren't many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities. After learning QuickSight's fundamental concepts and how to configure data sources, you'll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You'll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports. Next, you'll familiarize yourself with the types of insights before getting to grips with adding ML insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You'll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you'll learn advanced topics such as embedded dashboards and multitenancy. By the end of this book, you'll be well-versed with QuickSight's BI and analytics functionalities that will help you create BI apps with ML capabilities. What you will learn Understand the wider AWS analytics ecosystem and how QuickSight fits within it Set up and configure data sources with Amazon QuickSight Include custom controls and add interactivity to your BI application using parameters Add ML insights such as forecasting, anomaly detection, and narratives Explore patterns to automate operations using QuickSight APIs Create interactive dashboards and storytelling with Amazon QuickSight Design an embedded multi-tenant analytics architecture Focus on data permissions and how to manage Amazon QuickSight operations Who this book is forThis book is for business intelligence (BI) developers and data analysts who are looking to create interactive dashboards using data from Lake House on AWS with Amazon QuickSight. It will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical, up-to-date examples. You will need to be familiar with general data visualization concepts before you get started with this book, however, no prior experience with Amazon QuickSight is required.

Discover best practices to create simple, robust, and scalable software solutions quickly and securely, and focus on what's important - the business and the end customer Key Features Discover strategies and tips for low-code and no-code development with the help of useful examples in this full-color guide Build enterprise-scale reactive web and mobile applications Explore the benefits of low-code development Book DescriptionOutSystems is a software development platform that speeds up the build phase by abstracting code and making almost everything visual. This means replacing textual language with visual artifacts that avoid lexical errors and speed up code composition using accelerators and predefined templates. The book begins by walking you through the fundamentals of the technology, along with a general overview of end-to-end web and mobile software development. You'll learn how to configure your personal area in the cloud and use the OutSystems IDE to connect with it. The book then shows you how to build a web application based on the best architectural and developmental practices in the market, and takes the same approach for the mobile paradigm. As you advance, you'll find out how to develop the same application, and the great potential of reusing code from one paradigm in another and the symbiosis between them is showcased.The only application that'll differ from the application in the exercise is the one used in business process technology (BPT), with a focus on a common market use case. By the end of this OutSystems book, you'll be able to develop enterprise-level applications on the web and mobile, integrating them with third parties and other systems on the market. You'll also understand the concepts of performance, security, and software construction and be able to apply them effectively. What you will learn Get to grips with the OutSystems infrastructure Develop reactive web and mobile applications in OutSystems using best practices in Service Studio Define and design Architecture Canvas (3-Layer Canvas) for your applications Integrate with external systems in OutSystems Enhance applications with BPT Manage and monitor your applications in the OutSystems infrastructure Who this book is forThis book is for back-end developers, tech leaders, UX/UI developers, frontend developers, (in general, full-stack developers), tech companies, and enterprises looking to learn how to develop web and mobile software quickly and disruptively by leveraging OutSystems, one of the most low-code platforms in the market. An IT background is not mandatory; however, experience in SQL, JavaScript, HTML, CSS, and C# is required to get started with this book.

This third edition of the popular Mastering QuickBooks (R) is updated for 2022 and now goes above and beyond the topics covered on the QuickBooks Certified User (QBCU) exam. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn QuickBooks Online (QBO) from scratch and get confident with best practices Fully revised to include the latest updates to QuickBooks Online Brush up on everything you need to prepare for the QBCU exam Book DescriptionWhether you have bookkeeping experience or not, handling the financial side of your growing business requires expertise. With Mastering QuickBooks (R) 2022, Third Edition, you'll learn how to use QuickBooks (R) to build the perfect budget, simplify tax return preparation, manage inventory, track job costs, generate income statements and financial reports, and perform all accounting-related tasks with ease. Throughout the book, you'll be guided by an experienced Certified Public Accountant and Advanced Certified QuickBooks ProAdvisor - from setup to core features and beyond. This new edition has every chapter revised to cover a range of new features and updates available, including smart invoicing and cash flow projections. You'll learn how to create multilingual invoices, track mileage, work with a cash flow dashboard that helps you with cash forecasting and planning reports, and upload batches of bills and checks. This book will also teach you how to manage sales tax, including how to set up, collect, track, pay, and report sales tax payments. In addition to this, you'll explore how to export reports to Google Sheets, use the custom chart builder, import budgets, and perform smart reporting. By the end of this book, you'll be well-versed with QuickBooks and have the confidence to manage all your bookkeeping tasks with ease. What you will learn Tackle bookkeeping concepts and the typical bookkeeping and financial accounting cycle Discover QBO's new features and what the whole line-up offers Track everything from billable and non-billable time to expenses and profit Generate key financial reports for accounts, customers, jobs, and invoice items Understand the complete QuickBooks payroll process Who this book is forSmall business owners, bookkeepers, and accounting students who want to start using QuickBooks more effectively will all get plenty of practical know-how from this book. While this guide is appropriate for beginners, it can also serve as an exhaustive resource for those with some bookkeeping experience and those studying to become a QuickBooks Certified User.

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

Successfully execute a strategic roadmap of digital transformation and modernize your enterprise with a proven API-led agile implementation approach by unlocking the full range of features in IBM API Connect Version 10 Key Features Explore techniques to design and deliver valuable customer-centric APIs using API Connect Manage your APIs with improved security and optimal performance across many channels Uncover hidden capabilities that help improve business agility and management within your API ecosystem Book DescriptionIBM API Connect enables organizations to drive digital innovation using its scalable and robust API management capabilities across multi-cloud and hybrid environments. With API Connect's security, flexibility, and high performance, you'll be able to meet the needs of your enterprise and clients by extending your API footprint. This book provides a complete roadmap to create, manage, govern, and publish your APIs. You'll start by learning about API Connect components, such as API managers, developer portals, gateways, and analytics subsystems, as well as the management capabilities provided by CLI commands. You'll then develop APIs using OpenAPI and discover how you can enhance them with logic policies. The book shows you how to modernize SOAP and FHIR REST services as secure APIs with authentication, OAuth2/OpenID, and JWT, and demonstrates how API Connect provides safeguards for GraphQL APIs as well as published APIs that are easy to discover and well documented. As you advance, the book guides you in generating unit tests that supplement DevOps pipelines using Git and Jenkins for improved agility, and concludes with best practices for implementing API governance and customizing API Connect components. By the end of this book, you'll have learned how to transform your business by speeding up the time-to-market of your products and increase the ROI for your enterprise. What you will learn Use API Connect to create, manage, and publish customer-centric, API-led solutions Run CLI commands to manage API configuration and deployments Create REST, SOAP, and GraphQL APIs securely using OpenAPI Support OAuth and JWT security methods using policies Create custom policies to supplement security Apply built-in policies to transform payloads Use CLIs and unit testing hooks within DevOps pipelines Find out how to customize Analytics dashboards and Portal User Interface Who this book is forThis book is for developers and architects who want to achieve digital transformation using IBM API Connect and successfully execute the strategic roadmap of enterprise modernization while effectively managing their API ecosystem. A solid understanding of what RESTful services and APIs can do and where to implement API security is necessary to get started. Experience in application development and basic knowledge of microservices, container orchestration, and cloud environments will help you to get the most out of this book.

Get to grips with the tools, services, and functions needed for application migration to help you move from legacy applications to cloud-native on Google Cloud Key Features Discover how a sample legacy application can be transformed into a cloud-native application on Google Cloud Learn where to start and how to apply application modernization techniques and tooling Work with real-world use cases and instructions to modernize an application on Google Cloud Book DescriptionLegacy applications, which comprise 75-80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications. This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application. By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application. What you will learn Discover the principles and best practices for building cloud-native applications Study the six Rs of migration strategy and learn when to choose which strategy Rehost a legacy enterprise application on Google Compute Engine Replatform an application to use Google Load Balancer and Google Cloud SQL Refactor into a single-page application (SPA) supported by REST services Replatform an application to use Google Identity Platform and Firebase Authentication Refactor to microservices using the strangler pattern Automate the deployment process using a CI/CD pipeline with Google Cloud Build Who this book is forThis book is for software developers and solutions architects looking to gain experience in modernizing their enterprise applications to run on Google Cloud and transform them into cloud-native applications. Basic knowledge of Java and Spring Boot is necessary. Prior knowledge of Google Cloud is useful but not mandatory.

Get hands-on with NetSuite implementation, customization, and integration services for automating operations and accelerating business growth Key Features Understand how to consult a new client from the kick-off meeting to their go-live and beyond in the fastest possible time Explore the new features in NetSuite 2021 and learn best practices for ERP and CRM consultants Avoid the common pitfalls that consultants can run into when implementing NetSuite Book DescriptionNetSuite For Consultants takes a hands-on approach to help ERP and CRM consultants implement NetSuite quickly and efficiently, as well deepen their understanding of its implementation methodology. During the course of this book, you'll get a clear picture of what NetSuite is, how it works, and how accounts, support, and updates work within its ecosystem. Understanding what a business needs is a critical first step toward completing any software product implementation, so you'll learn how to write business requirements by learning about the various departments, roles, and processes in the client's organization. Once you've developed a solid understanding of NetSuite and your client, you'll be able to apply your knowledge to configure accounts and test everything with the users. You'll also learn how to manage both functional and technical issues that arise post-implementation and handle them like a professional. By the end of this book, you'll have gained the necessary skills and knowledge to implement NetSuite for businesses and get things up and running in the shortest possible time. What you will learn Understand the NetSuite ecosystem, including its main modules, the platform, and related features Explore the fundamentals of NetSuite and get ready to implement it in any organization Discover how to manage gaps, data migration, and integrations with NetSuite Find out how to minimize disruptions in finance as you migrate to NetSuite Understand the steps to configure your organization's account and how development and testing fit into the implementation schedule Refine your skills with NetSuite tips and tricks and make each implementation process a success Who this book is forThis book is aimed at consultants, NetSuite users, and partners who are tasked with guiding the organizations to get their business up and running with NetSuite. Basic NetSuite training and a general understanding of its features is required to get the most out of this book.

Leverage CRM Analytics to generate valuable business insights and solve business problems efficiently Key Features Extract, combine, transform, and visualize your data to derive business insights using CRM Analytics Gain hands-on experience as you walk through practical dashboard use cases in CRM Analytics Learn how to build best-in-class dashboards from a CRM Analytics thought leader Book DescriptionCRM Analytics, formerly known as Tableau CRM and Einstein Analytics, is a powerful and versatile data analytics platform that enables organizations to extract, combine, transform, and visualize their data to create valuable business insights. Creating Actionable Insights Using CRM Analytics provides a hands-on approach to CRM Analytics implementation and associated methodologies that will have you up and running and productive in no time. The book provides you with detailed explanations of essential concepts to help you to gain confidence and become competent in using the CRM Analytics platform for data extraction, combination, transformation, visualization, and action. As you make progress, you'll understand what CRM Analytics is and where it provides business value. You'll also learn how to bring your data together in CRM Analytics, build datasets and lenses for data analysis, create effective analytics dashboards for visualization and consumption by end users, and build dashboard actions that take the user from data to insight to action with ease. By the end of this book, you'll be able to solve business problems using CRM Analytics and design, build, test, and deploy analytics dashboards efficiently. What you will learn Implement and configure CRM Analytics from scratch Build your first CRM Analytics app and embed your CRM Analytics dashboards in Salesforce to enhance user adoption Connect Salesforce and external data with CRM Analytics and create datasets Create a data recipe and get familiar with the recipe UI Build a custom dashboard in CRM Analytics using the dashboard editor Use lenses to create a CRM Analytics dashboard Configure and implement data security and governance Build configured record actions to automate data directly in Salesforce Who this book is forThis book is for data analysts, business analysts, BI professionals, and Salesforce users who want to explore CRM Analytics' capabilities and features. Basic knowledge of Salesforce and data analytics is assumed to get the most out of this book.

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

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

This book is designed as a student handout for a two-day training course and may also be used as a self-teach book. This course objectives are to teach participants: * The user interface, * How to create a projects, * Scheduling projects without resources, * Filters, Views, Sorts and Printing, * Creating and assigning a baseline and * Updating an un-resourced project. Most chapters are reinforced by student workshops.

This study examines the legal environment on electronic transactions along with opportunities and challenges in developing electronic commerce among members of the Central Asia Regional Economic Cooperation (CAREC) Program. Digital trade promotion has been a long-standing priority for CAREC member countries, as part of their integration into global value chains and economic diversification. The study makes a case for modernization and harmonization of legislations of CAREC countries leveraging on international instruments and best practices for electronic commerce transactions. Adequate legislation to protect personal privacy and consumers and combat cybercrime is also crucial. Finally, institutions must be built with trust, within and among countries and through regional cooperation.

Save hours of guesswork and Internet browsing by enhancing your QuickBooks Online skills and leveraging Ash Beetson's extensive QuickBooks knowledge Key Features Broaden your knowledge of QuickBooks Online and accounting concepts Understand how QuickBooks can be adapted to suit different business types using professional techniques Learn best practices for preparing annual accounts before closing the books for the year Book DescriptionAccountants and bookkeepers can sometimes face challenges while coming up with solutions to help their clients. QuickBooks Online, a popular cloud accounting software, comes with a wide range of tools that can take time to learn. This book will show you how to properly combine the tools available in QuickBooks to get the most out of this software. Complete with step-by-step explanations of essential concepts and practical examples, the book will begin by helping you understand how to create opening balances for a new company. You'll then discover essential bookkeeping and accountancy tips and tricks, and find guidance to help make QuickBooks as easy to use as possible. As you advance, you'll explore different scenarios in which QuickBooks Online can be used for various business types. This will help you understand that not every business is the same, but using the wide range of functionalities QuickBooks Online offers, you can customize solutions to really make it work for you. By the end of this QuickBooks book, you'll have gained deep insights into how you can use QuickBooks Online to work for different business types, and you'll have a complete checklist of the different things you should be doing when you start reviewing accounts ahead of tax season. What you will learn Discover how to correctly set up QuickBooks Online with opening balances Adapt QuickBooks Online to meet specific industry needs, from manufacturing and retail using inventory to helping lawyers and property agents handle client funds Get the most out of features such as Projects and Multicurrency Review reports within QuickBooks Online, understand why errors occur, and learn how to resolve them Get to grips with key accounting principles and concepts tailored for bookkeeping and accounting beginners Find out how the audit trail works and explore all of the information it holds Who this book is forBusiness owners, company directors, accountants, bookkeepers, certified public accountants (CPAs), and anyone studying accounting and bookkeeping will find this book useful. The book contains general bookkeeping and accountancy tips and is designed to help you get the most out of the tools available in QuickBooks Online. Prior QuickBooks knowledge is necessary.

Learn how to write automated tests for Dynamics 365 Business Central and discover how you can implement them in your daily work Key Features Leverage automated testing to advance over traditional manual testing methods Write, design, and implement automated tests Explore various testing frameworks and tools compatible with Microsoft Dynamics 365 Business Central Book DescriptionDynamics 365 Business Central is a cloud-based SaaS ERP proposition from Microsoft. With development practices becoming more formal, implementing changes or new features is not as simple as it used to be back when Dynamics 365 Business Central was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision, and the call for test automation is increasing. This book will show you how to leverage the testing tools available in Dynamics 365 Business Central to perform automated testing. Starting with a quick introduction to automated testing and test-driven development (TDD), you'll get an overview of test automation in Dynamics 365 Business Central. You'll then learn how to design and build automated tests and explore methods to progress from requirements to application and testing code. Next, you'll find out how you can incorporate your own as well as Microsoft tests into your development practice. With the addition of three new chapters, this second edition covers in detail how to construct complex scenarios, write testable code, and test processes with incoming and outgoing calls. By the end of this book, you'll be able to write your own automated tests for Microsoft Business Central. What you will learn Understand the why and when of automated testing Discover how test-driven development can help to improve automated testing Explore the six pillars of the Testability Framework of Business Central Design and write automated tests for Business Central Make use of standard automated tests and their helper libraries Understand the challenges in testing features that interact with the external world Integrate automated tests into your development practice Who this book is forThis book is for consultants, testers, developers, and development managers working with Microsoft Dynamics 365 Business Central. Functional as well as technical development teams will find this book on automated testing techniques useful.

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