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Getting Started with CockroachDB: A guide to using a modern, cloud-native, and distributed SQL database for your data-intensive apps
by Kishen Das RajannaGet hands-on with deploying and managing your database services to provide scalable and high-speed data access on CockroachDBKey FeaturesGain insights into CockroachDB and build highly reliable cloud-native applicationsExplore the power of a scalable and highly available cloud-native SQL database to distribute data and workloads automaticallyBuild high-speed database services using CockroachDB and troubleshoot performance issuesBook DescriptionGetting Started with CockroachDB will introduce you to the inner workings of CockroachDB and help you to understand how it provides faster access to distributed data through a SQL interface. The book will also uncover how you can use the database to provide solutions where the data is highly available.Starting with CockroachDB's installation, setup, and configuration, this SQL book will familiarize you with the database architecture and database design principles. You'll then discover several options that CockroachDB provides to store multiple copies of your data to ensure fast data access. The book covers the internals of CockroachDB, how to deploy and manage it on the cloud, performance tuning to get the best out of CockroachDB, and how to scale data across continents and serve it locally. In addition to this, you'll get to grips with fault tolerance and auto-rebalancing, how indexes work, and the CockroachDB Admin UI. The book will guide you in building scalable cloud services on top of CockroachDB, covering administrative and security aspects and tips for troubleshooting, performance enhancements, and a brief guideline on migrating from traditional databases.By the end of this book, you'll have gained sufficient knowledge to manage your data on CockroachDB and interact with it from your application layer.What you will learnBecome well-versed with the overall architecture and design concepts of CockroachDBUnderstand how auto-rebalancing of data can avoid performance bottlenecksGet to know how CockroachDB achieves atomicity, consistency, isolation, and durabilityPartition your data across multiple geolocations to ensure very low latency when serving dataFind out how indexes are stored and the optimizations used to serve query results fasterDiscover the key concepts of deploying and managing CockroachDB clustersWho this book is forSoftware engineers, database developers, database administrators, and anyone who wishes to learn about the features of CockroachDB and how to build database solutions that are fast, highly available, and cater to business-critical applications, will find this book useful. Although no prior exposure to CockroachDB is required, familiarity with database concepts will help you to get the most out of this book.
Build Customized Apps with Amazon Honeycode: Quickly create interactive web and mobile apps for your teams without programming
by Aniruddha LoyaA non-developer's guide to harnessing the power of Amazon Honeycode apps to manage projects, customers, operations, approvals, resources, and teamsKey FeaturesA practical guide to Amazon Web Services (AWS) no-code app development for meeting specific needs of customersCreate apps quickly without paying for costly developers using Honeycode's in-built templates and functionsLearn how to use stable AWS services to supplement Honeycode's present limitsBook DescriptionAmazon Honeycode enables you to build fully managed, customizable, and scalable mobile and web applications for personal or professional use with little to no code. With this practical guide to Amazon Honeycode, you'll be able to bring your app ideas to life, improving your and your team's/organization's productivity. You'll begin by creating your very first app from the get-go and use it as a means to explore the Honeycode development environment and concepts. Next, you'll learn how to set up and organize the data to build and bind an app on Honeycode as well as deconstruct different templates to understand the common structures and patterns that can be used. Finally, you'll build a few apps from scratch and discover how to apply the concepts you've learned. By the end of this app development book, you'll have gained the knowledge you need to be able to build and deploy your own mobile and web applications. You'll also be able to invite and share your app with people you want to collaborate with.What you will learnBuild mobile and web applications with simple drag-drops and customizationsDeploy and share apps and collaborate in real-time with your teamUnderstand how to create automated processes in appsCreate a customized view for each app user or a group of usersImport existing data from a CSV and build an app on top of itCreate connectors to external data sourcesBuild applications using Honeycode either from scratch or by modifying an existing templateExplore Honeycode templates and understand what use cases are available out-of-the-box with these templatesWho this book is forLike the platform, this book is meant for everyone - professional and novice developers alike - who want to build and deploy apps for their personal or professional use as an individual or as a team. However, for professional developers, it is important to note that the book will not focus on advanced use cases with features like using public APIs and 3P integrations. No programming knowledge or experience is needed to start creating basic apps. However, working knowledge of Microsoft Excel or similar spreadsheet tools and a general understanding of logical statements will be helpful to get the most out of this book.
Power Query Cookbook: Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
by Andrea JanicijevicLeverage your source data from hundreds of different connections, perform millions of different transformations, and easily manage highly complex data lifecycles with Power QueryKey FeaturesCollect, combine, and transform data using Power Query's data connectivity and data preparation featuresOvercome the problems faced while accessing data from multiple sources and reshape it to meet your business requirementsExplore how the M language can be used to write your own customized solutionsBook DescriptionPower Query is a data preparation tool that enables data engineers and business users to connect, reshape, enrich, and transform their data to facilitate relevant business insights and analysis. With Power Query's wide range of features, you can perform no-code transformations and complex M code functions at the same time to get the most out of your data. This Power Query book will help you to connect to data sources, achieve intuitive transformations, and get to grips with preparation practices. Starting with a general overview of Power Query and what it can do, the book advances to cover more complex topics such as M code and performance optimization. You'll learn how to extend these capabilities by gradually stepping away from the Power Query GUI and into the M programming language. Additionally, the book also shows you how to use Power Query Online within Power BI Dataflows. By the end of the book, you'll be able to leverage your source data, understand your data better, and enrich it with a full stack of no-code and custom features that you'll learn to design by yourself for your business requirements.What you will learnUnderstand how to use Power Query to connect and explore dataExplore ways to reshape and enrich dataDiscover the potential of Power Query across the Microsoft platformBuild complex and custom transformationsUse M code to write new queries against data sourcesUse the Power Query Online tool within Power BI DataflowsImplement best practices such as reusing dataflows, optimizing expanding table operations, and field mappingWho this book is forThis book is for data analysts, BI developers, data engineers, and anyone looking for a desk reference guide to learn how Power Query can be used with different Microsoft products to handle data of varying complexity. Beginner-level knowledge of Power BI and the M Language will help you to get the best out of this book.
Mastering Ubuntu Server: Gain expertise in the art of deploying, configuring, managing, and troubleshooting Ubuntu Server, 3rd Edition
by Jay LaCroixThis is the third edition of the bestselling one-stop resource for sysadmins and DevOps professionals to learn, configure and use Ubuntu 20.04 for their day-to-day operations and deployments.Key FeaturesA hands-on book that will teach you how to deploy, maintain and troubleshoot Ubuntu ServerLearn to leverage the improved performance and security-related aspects of Ubuntu Server 20.04 LTSNew chapters dedicated to exploring Ubuntu for cloudBook DescriptionUbuntu Server has taken data centers around the world by storm. Whether you're deploying Ubuntu for a large-scale project or for a small office, it is a stable, customizable, and powerful Linux distribution with innovative and cutting-edge features. For both simple and complex server deployments, Ubuntu's flexible nature can be easily adapted to meet to the needs of your organization. This third edition is updated to cover the advancements of Ubuntu 20.04 LTS and further train you to understand how to use Ubuntu Server, from initial deployment to creating production-ready resources for your network. The book begins with the concepts of user management, group management, and file system permissions. Continuing into managing storage volumes, you will learn how to format storage devices, utilize logical volume management, and monitor disk usage. Later, you will learn how to virtualize hosts and applications, which will include setting up QEMU & KVM, as well as containerization with both Docker and LXD. As the book continues, you will learn how to automate configuration with Ansible, as well as take a look at writing scripts. Lastly, you will explore best practices and troubleshooting techniques when working with Ubuntu Server that are applicable to real-world scenarios. By the end of this Ubuntu Server book, you will be well-versed in Ubuntu server's advanced concepts and attain the required proficiency needed for Ubuntu Server administration.What you will learnManage users, groups, and permissionsOptimize the performance of system resourcesPerform disk encryption and decryption with Linux Unified Key Setup (LUKS)Set up Secure Shell (SSH) for remote access, and connect it to other nodesShare directories using Samba and Network File System (NFS)Get familiar with scripting to improve command-line efficiencyConfigure VMs, containers, and orchestrate with MicroK8s and KubernetesAutomate server deployments with Ansible and cloud server deployments with TerraformWho this book is forThe book is written to cater to sysadmins and DevOps professionals whose teams are planning to employ an Ubuntu/Linux environment for their development needs.Prior knowledge of Ubuntu is not required. However, it is assumed that you possess some IT admin, Linux, and shell scripting experience.
The Data Visualization Workshop: A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
by Tim Großmann Mario DoblerExplore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop Key Features Discover the essential tools and methods of data visualization Learn to use standard Python plotting libraries such as Matplotlib and Seaborn Gain insights into the visualization techniques of big companies Book Description Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data? The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities. Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you'll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You'll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you've ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you'll use the Bokeh library to create dynamic visualizations that can be integrated into any web page. By the end of this workshop, you'll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data. What you will learn Understand the importance of data visualization in data science Implement NumPy and pandas operations on real-life datasets Create captivating data visualizations using plotting libraries Use advanced techniques to plot geospatial data on a map Integrate interactive visualizations to a webpage Visualize stock prices with Bokeh and analyze Airbnb data with Matplotlib Who this book is for The Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-school-level math will help you grasp the concepts covered in this data visualization book more quickly and effectively.
Ubuntu 20.04 Essentials: A guide to Ubuntu 20.04 desktop and server editions
by Neil SmythExplore the potential of Ubuntu 20.04 to manage your local machine and external servers with ease Key Features • Learn how to install Ubuntu on a clean disk drive and with the network installer • Find out how to set up a firewall to protect your system from vulnerable attacks • Explore file-sharing services such as Samba and NFS to share files from Ubuntu to third-party systems Book Description Ubuntu is undeniably one of the most highly regarded and widely used Debian-based Linux distributions available today. Thanks to its ease of use and reliability, Ubuntu has a loyal following of Linux users and an active community of developers. Ubuntu 20.04 Essentials is designed to take you through the installation, use, and administration of the Ubuntu 20.04 distribution in detail. For beginners, the book covers topics such as operating system installation, the basics of the GNOME desktop environment, configuring email and web servers, and installing packages and system updates. Additional installation topics such as dual booting with Microsoft Windows are also covered along with crucial security topics such as configuring a firewall and user and group administration. For the experienced user, the book delves into topics such as remote desktop access, the Cockpit web interface, logical volume management (LVM), disk partitioning, and swap management. Further, it also explores KVM virtualization, Secure Shell (SSH), Linux containers, and file sharing using both Samba and NFS to provide a thorough overview of this enterprise-class operating system. What you will learn • Get to grips with the process of installing and booting Ubuntu • Configure SSH key-based authentication on Ubuntu • Create KVM virtual machines using Cockpit and the Virtual Machine Manager (VMM) • Install, run, and manage containers on Ubuntu • Send and receive emails using a third-party SMTP relay server • Add a new disk to an Ubuntu volume group and logical volume Who this book is for If you are into network engineering or system administration or are a Linux enthusiast looking to get hands-on with Ubuntu 20.04 to manage local and virtual machines, this book is for you. A solid understanding of basic Linux commands and knowledge of Ubuntu is recommended.
Becoming an Agile Software Architect: Strategies, practices, and patterns to help architects design continually evolving solutions
by Rajesh R VA guide to successfully operating in a lean-agile organization for solutions architects and enterprise architectsKey FeaturesDevelop the right combination of processes and technical excellence to address architectural challengesExplore a range of architectural techniques to modernize legacy systemsDiscover how to design and continuously improve well-architected sustainable softwareBook DescriptionMany organizations have embraced Agile methodologies to transform their ability to rapidly respond to constantly changing customer demands. However, in this melee, many enterprises often neglect to invest in architects by presuming architecture is not an intrinsic element of Agile software development. Since the role of an architect is not pre-defined in Agile, many organizations struggle to position architects, often resulting in friction with other roles or a failure to provide a clear learning path for architects to be productive. This book guides architects and organizations through new Agile ways of incrementally developing the architecture for delivering an uninterrupted, continuous flow of values that meets customer needs. You'll explore various aspects of Agile architecture and how it differs from traditional architecture. The book later covers Agile architects' responsibilities and how architects can add significant value by positioning themselves appropriately in the Agile flow of work. Through examples, you'll also learn concepts such as architectural decision backlog,the last responsible moment, value delivery, architecting for change, DevOps, and evolutionary collaboration. By the end of this Agile book, you'll be able to operate as an architect in Agile development initiatives and successfully architect reliable software systems.What you will learnAcquire clarity on the duties of architects in Agile developmentUnderstand architectural styles such as domain-driven design and microservicesIdentify the pitfalls of traditional architecture and learn how to develop solutionsUnderstand the principles of value and data-driven architectureDiscover DevOps and continuous delivery from an architect's perspectiveAdopt Lean-Agile documentation and governanceDevelop a set of personal and interpersonal qualitiesFind out how to lead the transformation to achieve organization-wide agilityWho this book is forThis agile study guide is for architects currently working on agile development projects or aspiring to work on agile software delivery, irrespective of the methodology they are using. You will also find this book useful if you're a senior developer or a budding architect looking to understand an agile architect's role by embracing agile architecture strategies and a lean-agile mindset. To understand the concepts covered in this book easily, you need to have prior knowledge of basic agile development practices.
AWS Certified Machine Learning Specialty: The definitive guide to passing the MLS-C01 exam on the very first attempt
by Somanath Nanda Weslley MouraPrepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidenceKey FeaturesGet to grips with core machine learning algorithms along with AWS implementationBuild model training and inference pipelines and deploy machine learning models to the Amazon Web Services (AWS) cloudLearn all about the AWS services available for machine learning in order to pass the MLS-C01 examBook DescriptionThe AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS. Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them. By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.What you will learnUnderstand all four domains covered in the exam, along with types of questions, exam duration, and scoringBecome well-versed with machine learning terminologies, methodologies, frameworks, and the different AWS services for machine learningGet to grips with data preparation and using AWS services for batch and real-time data processingExplore the built-in machine learning algorithms in AWS and build and deploy your own modelsEvaluate machine learning models and tune hyperparametersDeploy machine learning models with the AWS infrastructureWho this book is forThis AWS book is for professionals and students who want to prepare for and pass the AWS Certified Machine Learning Specialty exam or gain deeper knowledge of machine learning with a special focus on AWS. Beginner-level knowledge of machine learning and AWS services is necessary before getting started with this book.
The C# Workshop: Kickstart your career as a software developer with C#
by Jason Hales Almantas Karpavicius Mateus ViegasBuild your understanding and confidence with this hands-on guide to programming with C# 10 and .NET 6Key FeaturesGain a solid foundation in C# and focus on coding real-world applicationsLearn how to write clean, effective code and think like a C# developerBuild your experience and confidence with hands-on exercises and activitiesBook DescriptionC# is a powerful, versatile language that can unlock a variety of career paths. But, as with any programming language, learning C# can be a challenging process. With a wide range of different resources available, it's difficult to know where to start.That's where The C# Workshop comes in. Written and reviewed by industry experts, it provides a fast-paced, supportive learning experience that will quickly get you writing C# code and building applications. Unlike other software development books that focus on dry, technical explanations of the underlying theory, this Workshop cuts through the noise and uses engaging examples to help you understand how each concept is applied in the real world.As you work through the book, you'll tackle realistic exercises that simulate the type of problems that software developers work on every day. These mini-projects include building a random-number guessing game, using the publisher-subscriber model to design a web file downloader, creating a to-do list using Razor Pages, generating images from the Fibonacci sequence using async/await tasks, and developing a temperature unit conversion app which you will then deploy to a production server.By the end of this book, you'll have the knowledge, skills, and confidence to advance your career and tackle your own ambitious projects with C#.What you will learnUnderstand the fundamentals of programming with C# 10 and .NET 6Build your familiarity with .NET CLI and Visual Studio CodeMaster the fundamentals of object-oriented programming (OOP)Understand and implement concurrency to write more efficient codeCreate a database and handle data using C#, SQL, and Entity FrameworkBuild web applications using the ASP.NET frameworkRun automated unit tests with NUnit to validate your codeUse principles including SOLID, KISS, ACID, DRY, and design patternsWho this book is forThis book is for aspiring C# developers. It is recommended that you already have a basic understanding of core programming concepts before you start. Prior experience of another programming language would be beneficial, though it is not absolutely necessary.
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
by Denis RothmanBecome an AI language understanding expert by mastering the quantum leap of Transformer neural network modelsKey FeaturesBuild and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that outperform classical deep learning modelsGo through hands-on applications in Python using Google Colaboratory Notebooks with nothing to install on a local machineLearn training tips and alternative language understanding methods to illustrate important key conceptsBook DescriptionThe transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers. The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face. The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets.What you will learnUse the latest pretrained transformer modelsGrasp the workings of the original Transformer, GPT-2, BERT, T5, and other transformer modelsCreate language understanding Python programs using concepts that outperform classical deep learning modelsUse a variety of NLP platforms, including Hugging Face, Trax, and AllenNLPApply Python, TensorFlow, and Keras programs to sentiment analysis, text summarization, speech recognition, machine translations, and moreMeasure the productivity of key transformers to define their scope, potential, and limits in productionWho this book is forSince the book does not teach basic programming, you must be familiar with neural networks, Python, PyTorch, and TensorFlow in order to learn their implementation with Transformers. Readers who can benefit the most from this book include deep learning & NLP practitioners, data analysts and data scientists who want an introduction to AI language understanding to process the increasing amounts of language-driven functions.
Azure DevOps Explained: Get started with Azure DevOps and develop your DevOps practices
by Amit Malik Stefano Demiliani Sjoukje ZaalImplement real-world DevOps and cloud deployment scenarios using Azure Repos, Azure Pipelines, and other Azure DevOps tools Key Features • Improve your application development life cycle with Azure DevOps in a step-by-step manner • Apply continuous integration and continuous deployment to reduce application downtime • Work with real-world CI/CD scenarios curated by a team of renowned Microsoft MVPs and MCTs Book Description Developing applications for the cloud involves changing development methodologies and procedures. Continuous integration and continuous deployment (CI/CD) processes are a must today, but are often difficult to implement and adopt. Azure DevOps is a Microsoft Azure cloud service that enhances your application development life cycle and enables DevOps capabilities. Starting with a comprehensive product overview, this book helps you to understand Azure DevOps and apply DevOps techniques to your development projects. You'll find out how to adopt DevOps techniques for your development processes by using built-in Azure DevOps tools. Throughout the course of this book, you'll also discover how to manage a project with the help of project management techniques such as Agile and Scrum, and then progress toward development aspects such as source code management, build pipelines, code testing and artifacts, release pipelines, and GitHub integration. As you learn how to implement DevOps practices, this book will also provide you with real-world examples and scenarios of DevOps adoption. By the end of this DevOps book, you will have learned how to adopt and implement Azure DevOps features in your real-world development processes. What you will learn • Get to grips with Azure DevOps • Find out about project management with Azure Boards • Understand source code management with Azure Repos • Build and release pipelines • Run quality tests in build pipelines • Use artifacts and integrate Azure DevOps in the GitHub flow • Discover real-world CI/CD scenarios with Azure DevOps Who this book is for This book is for developers, solutions architects, and DevOps engineers interested in getting started with cloud DevOps practices on Azure. Prior understanding of Azure architecture and services is necessary. Some knowledge of DevOps principles and techniques will be useful.
Microsoft Power Apps Cookbook: Become a pro Power Apps maker by applying practical use cases to solve ever-evolving business challenges
by Eickhel MendozaPractical recipes that go beyond official documentation to help you create custom solutions, automate processes, and extend the platform's capabilities using Power Apps, Power Automate, Component Framework, and Dataverse for TeamsKey FeaturesImprove business operations by creating impactful Power Apps solutions with real-world use casesExplore a variety of built-in templates to create custom apps for specific business scenariosStrengthen your enterprise applications with advanced techniques and proven tips using a low-code approachBook DescriptionMicrosoft Power Apps provides a powerful, low-code solution for application development, empowering non-technical users to create robust, practical solutions in no time. This book will help you create a wide range of custom business solutions using the ease of development that Power Apps provides by overcoming many of the challenges faced in business application development. You'll start by getting to grips with Power Apps Studio and finding out how canvas apps help you build pixel-perfect applications as per business needs. The book then covers the practicalities involved in designing model-driven apps and teaches you how to automate business processes using Power Automate. You'll also discover how to improve user experience (UX) to make applications more appealing. As you advance, you'll learn how to strengthen your business apps by using AI Builder's artificial intelligence capabilities. You'll also explore advanced troubleshooting techniques to find creative ways to overcome various challenges in your Power Apps solutions. The book concludes with Power Apps Component Framework to help you further improve the existing applications' capabilities. By the end of this book, you'll have gained experience in developing applications using the Power Apps platform and its features.What you will learnBuild pixel-perfect solutions with canvas appsDesign model-driven solutions using various features of Microsoft DataverseAutomate business processes such as triggered events, status change notifications, and approval systems with Power AutomateImplement AI Builder's intelligent capabilities in your solutionsImprove the UX of business apps to make them more appealingFind out how to extend Microsoft Teams using Power AppsExtend your business applications' capabilities using Power Apps Component FrameworkWho this book is forThis book is for citizen developers and business users looking to build custom applications as per their organizational needs without depending on professional developers. Traditional app developers will also find this book useful by discovering how to build applications in a rapid application development environment with increased productivity and speed. The book is recommended for Power Apps beginners who have taken a couple of online tutorials but are struggling to implement or create real-world solutions. Basic knowledge of Power Apps is necessary to get the best out of this cookbook.
Adobe Illustrator for Creative Professionals: Develop skills in vector graphic illustration and build a strong design portfolio with Illustrator 2022
by Clint BalsarBuild your own designs using vector shapes and apply design principles when creating projects in Adobe Illustrator with the help of this full-color guideKey FeaturesApply industry trends and methods and move from concept to completion of designsManipulate tools within the software to make your creative process smootherMaster the technique of using tools such as the Shaper Tool, Shape Builder Tool, and the Live Paint BucketBook DescriptionAdobe Illustrator is a vector-based art tool for visual creatives. It is an industry-standard tool that helps you take a design from concept to completion, including the process of peer collaboration and client feedback.Complete with step-by-step explanations of essential concepts and practical examples, you'll begin to build confidence as you master the methods of successful illustrators in the industry by exploring crucial tools and techniques of Adobe Illustrator. You'll learn how to create objects using different tools and methods while assigning varied attributes and appearances. Throughout the book, you'll strengthen your skills in developing structures for maintaining organization as your illustration grows.By the end of this Adobe Illustrator book, you'll have gained the confidence you need to not only create content in the desired format and for the right audience but also build eye-catching vector art based on solid design principles.What you will learnMaster a wide variety of methods for developing objectsControl files using layers and groupsEnhance content using data-supported infographicsUse multiple artboards for better efficiency and asset managementUnderstand the use of layers and objects in IllustratorBuild professional systems for final presentation to clientsWho this book is forThis book is for creative illustrators with basic to intermediate-level experience with vector-based software who want to take their existing skills to the next level. Prior knowledge of vector-based illustration concepts will help you get the most out of this Adobe Illustrator software book and produce impressive results.
Automating Workflows with GitHub Actions: Automate software development workflows and seamlessly deploy your applications using GitHub Actions
by Priscila HellerBuild, test, and deploy code right from your GitHub repository by automating, customizing, and executing software development workflows with GitHub ActionsKey FeaturesEnhance your CI/CD and DevOps workflows using GitHub ActionsDiscover how to create custom GitHub Actions using Docker and JavaScriptGet up and running with building a CI/CD pipeline effectivelyBook DescriptionGitHub Actions is one of the most popular products that enables you to automate development tasks and improve your software development workflow. Automating Workflows with GitHub Actions uses real-world examples to help you automate everyday tasks and use your resources efficiently. This book takes a practical approach to helping you develop the skills needed to create complex YAML files to automate your daily tasks. You'll learn how to find and use existing workflows, allowing you to get started with GitHub Actions right away. Moving on, you'll discover complex concepts and practices such as self-hosted runners and writing workflow files that leverage other platforms such as Docker as well as programming languages such as Java and JavaScript. As you advance, you'll be able to write your own JavaScript, Docker, and composite run steps actions, and publish them in GitHub Marketplace! You'll also find instructions to migrate your existing CI/CD workflows into GitHub Actions from platforms like Travis CI and GitLab. Finally, you'll explore tools that'll help you stay informed of additions to GitHub Actions along with finding technical support and staying engaged with the community. By the end of this GitHub book, you'll have developed the skills and experience needed to build and maintain your own CI/CD pipeline using GitHub Actions.What you will learnGet to grips with the basics of GitHub and the YAML syntaxUnderstand key concepts of GitHub ActionsFind out how to write actions for JavaScript and Docker environmentsDiscover how to create a self-hosted runnerMigrate from other continuous integration and continuous delivery (CI/CD) platforms to GitHub ActionsCollaborate with the GitHub Actions community and find technical help to navigate technical difficultiesPublish your workflows in GitHub MarketplaceWho this book is forThis book is for anyone involved in the software development life cycle, for those looking to learn about GitHub Actions and what can be accomplished, and for those who want to develop a new skill to help them advance their software development career. If you are new to GitHub and GitHub Actions in general, then this book is for you. Basic knowledge of GitHub as a platform will help you to get the most out of this book.
Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
by Gareth Eagar Rafael Pecora Marcos AmorimThe missing expert-led manual for the AWS ecosystem — go from foundations to building data engineering pipelines effortlesslyPurchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesLearn about common data architectures and modern approaches to generating value from big dataExplore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelinesLearn how to architect and implement data lakes and data lakehouses for big data analytics from a data lakes expertBook DescriptionWritten by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS. As you progress, you'll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You'll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data. By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.What you will learnUnderstand data engineering concepts and emerging technologiesIngest streaming data with Amazon Kinesis Data FirehoseOptimize, denormalize, and join datasets with AWS Glue StudioUse Amazon S3 events to trigger a Lambda process to transform a fileRun complex SQL queries on data lake data using Amazon AthenaLoad data into a Redshift data warehouse and run queriesCreate a visualization of your data using Amazon QuickSightExtract sentiment data from a dataset using Amazon ComprehendWho this book is forThis book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful.A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it's not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
Android Studio 4.0 Development Essentials - Kotlin Edition: Build Android Apps with Android Studio 4.0 and Kotlin
by Neil SmythUpgrade your Android Studio skills and confidently create, test, and upload Android applications using KotlinKey FeaturesDiscover how to set up Android development and testing environmentsPractice object-oriented programming (OOP) in KotlinExplore all the major elements of Android JetpackBook DescriptionKotlin as an Android-compatible programming language is becoming increasingly popular. Fully updated for Android Studio 4.0, this book will teach you the skills necessary to develop Android-based applications using Kotlin.Starting with the basics, this book outlines the steps necessary to set up Android development and testing environments, and goes on to introduce you to programming in Kotlin. You'll practice Java to Kotlin code conversion and explore data types, operators, expressions, loops, functions, as well as the basics of OOP in Kotlin. You'll then learn about Android architecture components and advanced topics, such as intents, touchscreen handling, gesture recognition, multi-window support integration, and biometric authentication. As you make progress, you'll explore Android Studio 4.0's key features, including layout editor, direct reply notifications, and dynamic delivery. You'll also delve into Android Jetpack and create a sample app project using ViewModel, the Android Jetpack component. Finally, you will upload your app to Google Play Console and model the build process using Gradle.By the end of this Android book, you'll be fully prepared to develop applications using Android Studio 4.0 and Kotlin.What you will learnBuild Android apps by writing less error-prone code using KotlinReduce the amount of code using Android JetpackExplore unique ways of handling single and multi-touch eventsTrigger local and remote notifications on the deviceIntegrate biometric authentication into an Android appCreate, test, and upload an Android app bundle on Google Play StoreWho this book is forIf you are an application developer or programmer who wants to learn how to build reliable Android applications using Kotlin and Android Studio 4.0, then this book is for you. A basic understanding of programming languages and Android SDK is necessary.
Docker Deep Dive: Harness the full potential of your applications with Docker
by Nigel PoultonStart from scratch and develop the essential skills needed to create, deploy, and manage cloud-native applications using Docker <P><P>Key Features <P><P>Get a solid understanding of Docker and containers <P><P>Overcome common problems while containerizing an application <P><P>Master Docker commands needed for creating, deploying, and running applications <P><P>Book Description <P><P>Most applications, even the funky cloud-native microservices ones, need high-performance, production-grade infrastructure to run on. Having impeccable knowledge of Docker will help you to thrive in the modern cloud-first world. With this book, you'll gain the skills you need to work with Docker and its containers. <P><P>The book begins with an introduction to containers and explains its functionality and application in the real world. You'll then get an overview of VMware, Kubernetes, and Docker and learn to install Docker on Windows, Mac, and Linux. Once you've understood the Ops and Dev perspective of Docker, you'll be able to see the big picture and understand what Docker exactly does. The book then turns its attention to the more technical aspects, guiding your through practical exercises covering Docker engine, Docker images, and Docker containers. You'll learn techniques for containerizing an app, deploying apps with Docker Compose, and managing cloud-native applications with Swarm. You'll also build Docker networks and Docker overlay networks and handle applications that write persistent data. Finally, you'll deploy apps with Docker stacks and secure your Docker environment. By the end of this book, you'll be well-versed in Docker and containers and have developed the skills to create, deploy, and run applications on the cloud. <P><P>What you will learn <P><P>Become familiar with the applications of Docker and containers <P><P>Discover how to pull images into Docker host's local registryFind out how to containerize an app <P><P>Build and test a Docker overlay network in the swarm mode <P><P>Use Docker compose to deploy and manage multi-container applications <P><P>Securely share sensitive data with containers and Swarm services <P><P>Who this book is fo <P><P>rWhether you are a beginner or an experienced developer looking to utilize Docker to develop and operate cloud-native microservices apps, this book is for you. Anyone who wants to learn Docker orchestration, networking, imaging, and security will also find it useful. No prior knowledge of Docker is necessary.
The Economics of Data, Analytics, and Digital Transformation: The theorems, laws, and empowerments to guide your organization's digital transformation
by Bill Schmarzo Dr. Kirk BorneBuild a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine LearningKey FeaturesMaster the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindsetAcquire implementable knowledge on digital transformation through 8 practical lawsExplore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctlyBook DescriptionIn today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator.The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise.The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning.By the end of the book, you will have the tools and techniques to drive your organization's digital transformation.Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book:Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon.What you will learnTrain your organization to transition from being data-driven to being value-drivenNavigate and master the big data business model maturity indexLearn a methodology for determining the economic value of your data and analyticsUnderstand how AI and machine learning can create analytics assets that appreciate in value the more that they are usedBecome aware of digital transformation misconceptions and pitfallsCreate empowered and dynamic teams that fuel your organization's digital transformationWho this book is forThis book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.
Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python
by Kunal SawarkarBuild, train, deploy, and scale deep learning models quickly and accurately, improving your productivity using the lightweight PyTorch WrapperKey FeaturesBecome well-versed with PyTorch Lightning architecture and learn how it can be implemented in various industry domainsSpeed up your research using PyTorch Lightning by creating new loss functions, networks, and architecturesTrain and build new algorithms for massive data using distributed trainingBook DescriptionPyTorch Lightning lets researchers build their own Deep Learning (DL) models without having to worry about the boilerplate. With the help of this book, you'll be able to maximize productivity for DL projects while ensuring full flexibility from model formulation through to implementation. You'll take a hands-on approach to implementing PyTorch Lightning models to get up to speed in no time.You'll start by learning how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. Next, you'll build a network and application from scratch and see how you can expand it based on your specific needs, beyond what the framework can provide. The book also demonstrates how to implement out-of-box capabilities to build and train Self-Supervised Learning, semi-supervised learning, and time series models using PyTorch Lightning. As you advance, you'll discover how generative adversarial networks (GANs) work. Finally, you'll work with deployment-ready applications, focusing on faster performance and scaling, model scoring on massive volumes of data, and model debugging.By the end of this PyTorch book, you'll have developed the knowledge and skills necessary to build and deploy your own scalable DL applications using PyTorch Lightning.What you will learnCustomize models that are built for different datasets, model architectures, and optimizersUnderstand how a variety of Deep Learning models from image recognition and time series to GANs, semi-supervised and self-supervised models can be builtUse out-of-the-box model architectures and pre-trained models using transfer learningRun and tune DL models in a multi-GPU environment using mixed-mode precisionsExplore techniques for model scoring on massive workloadsDiscover troubleshooting techniques while debugging DL modelsWho this book is forThis deep learning book is for citizen data scientists and expert data scientists transitioning from other frameworks to PyTorch Lightning. This book will also be useful for deep learning researchers who are just getting started with coding for deep learning models using PyTorch Lightning. Working knowledge of Python programming and an intermediate-level understanding of statistics and deep learning fundamentals is expected.
Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems
by Gregory Keys David WhitingBuild predictive models using large data volumes and deploy them to production using cutting-edge techniquesKey FeaturesBuild highly accurate state-of-the-art machine learning models against large-scale dataDeploy models for batch, real-time, and streaming data in a wide variety of target production systemsExplore all the new features of the H2O AI Cloud end-to-end machine learning platformBook DescriptionH2O is an open source, fast, and scalable machine learning framework that allows you to build models using big data and then easily productionalize them in diverse enterprise environments.Machine Learning at Scale with H2O begins with an overview of the challenges faced in building machine learning models on large enterprise systems, and then addresses how H2O helps you to overcome them. You'll start by exploring H2O's in-memory distributed architecture and find out how it enables you to build highly accurate and explainable models on massive datasets using your favorite ML algorithms, language, and IDE. You'll also get to grips with the seamless integration of H2O model building and deployment with Spark using H2O Sparkling Water. You'll then learn how to easily deploy models with H2O MOJO. Next, the book shows you how H2O Enterprise Steam handles admin configurations and user management, and then helps you to identify different stakeholder perspectives that a data scientist must understand in order to succeed in an enterprise setting. Finally, you'll be introduced to the H2O AI Cloud platform and explore the entire machine learning life cycle using multiple advanced AI capabilities.By the end of this book, you'll be able to build and deploy advanced, state-of-the-art machine learning models for your business needs.What you will learnBuild and deploy machine learning models using H2OExplore advanced model-building techniquesIntegrate Spark and H2O code using H2O Sparkling WaterLaunch self-service model building environmentsDeploy H2O models in a variety of target systems and scoring contextsExpand your machine learning capabilities on the H2O AI CloudWho this book is forThis book is for data scientists and machine learning engineers who want to gain hands-on machine learning experience by building and deploying state-of-the-art models with advanced techniques using H2O technology. An understanding of the data science process and experience in Python programming is recommended. This book will also benefit students by helping them understand how machine learning works in real-world enterprise scenarios.
The Data Science Workshop: Learn how you can build machine learning models and create your own real-world data science projects, 2nd Edition
by Anthony So Thomas V. Joseph Robert Thas John Andrew Worsley Dr. Samuel AsareGain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platforms Key Features Gain a full understanding of the model production and deployment process Build your first machine learning model in just five minutes and get a hands-on machine learning experience Understand how to deal with common challenges in data science projects Book Description Where there's data, there's insight. With so much data being generated, there is immense scope to extract meaningful information that'll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you'll open new career paths and opportunities. The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You'll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you'll get hands-on with approaches such as grid search and random search. Next, you'll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You'll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch. By the end of this book, you'll have the skills to start working on data science projects confidently. By the end of this book, you'll have the skills to start working on data science projects confidently. What you will learn Explore the key differences between supervised learning and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Understand key concepts such as regression, classification, and clustering Discover advanced techniques to improve the accuracy of your model Understand how to speed up the process of adding new features Simplify your machine learning workflow for production Who this book is for This is one of the most useful data science books for aspiring data analysts, data scientists, database engineers, and business analysts. It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going through all the mathematics behind machine learning algorithms. Basic knowledge of the Python programming language will help you easily grasp the concepts explained in this book.
Data Science Projects with Python: A case study approach to gaining valuable insights from real data with machine learning, 2nd Edition
by Stephen KlostermanGain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoostKey FeaturesThink critically about data and use it to form and test a hypothesisChoose an appropriate machine learning model and train it on your dataCommunicate data-driven insights with confidence and clarityBook DescriptionIf data is the new oil, then machine learning is the drill. As companies gain access to ever-increasing quantities of raw data, the ability to deliver state-of-the-art predictive models that support business decision-making becomes more and more valuable.In this book, you'll work on an end-to-end project based around a realistic data set and split up into bite-sized practical exercises. This creates a case-study approach that simulates the working conditions you'll experience in real-world data science projects.You'll learn how to use key Python packages, including pandas, Matplotlib, and scikit-learn, and master the process of data exploration and data processing, before moving on to fitting, evaluating, and tuning algorithms such as regularized logistic regression and random forest.Now in its second edition, this book will take you through the end-to-end process of exploring data and delivering machine learning models. Updated for 2021, this edition includes brand new content on XGBoost, SHAP values, algorithmic fairness, and the ethical concerns of deploying a model in the real world.By the end of this data science book, you'll have the skills, understanding, and confidence to build your own machine learning models and gain insights from real data.What you will learnLoad, explore, and process data using the pandas Python packageUse Matplotlib to create compelling data visualizationsImplement predictive machine learning models with scikit-learnUse lasso and ridge regression to reduce model overfittingEvaluate random forest and logistic regression model performanceDeliver business insights by presenting clear, convincing conclusionsWho this book is forData Science Projects with Python – Second Edition is for anyone who wants to get started with data science and machine learning. If you're keen to advance your career by using data analysis and predictive modeling to generate business insights, then this book is the perfect place to begin. To quickly grasp the concepts covered, it is recommended that you have basic experience of programming with Python or another similar language, and a general interest in statistics.
Effortless App Development with Oracle Visual Builder: Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
by Ankur JainBuild web and mobile apps quickly with Oracle Visual Builder and delve into real-time end-to-end use cases, exploring best practices, recommendations, security, and debugging techniquesKey FeaturesExecute various real-time use cases and develop web and mobile applications quicklyEnhance your skills by extending Oracle and non-Oracle SaaS applications using VBGain the knowledge needed to take on projects directly and work independentlyBook DescriptionOrganizations are moving their applications, data, and processes to the cloud to reduce application costs, effort, and maintenance. However, adopting new technology poses challenges for developers, solutions architects, and designers due to a lack of knowledge and appropriate practical training resources. This book helps you get to grips with Oracle Visual Builder (VB) and enables you to quickly develop web and mobile applications and deploy them to production without hassle. This book will provide you with a solid understanding of VB so that you can adopt it at a faster pace and start building applications right away. After working with real-time examples to learn about VB, you'll discover how to design, develop, and deploy web and mobile applications quickly. You'll cover all the VB components in-depth, including web and mobile application development, business objects, and service connections. In order to use all these components, you'll also explore best practices, security, and recommendations, which are well explained within the chapters. Finally, this book will help you gain the knowledge you need to enhance the performance of an application before deploying it to production. By the end of this book, you will be able to work independently and deploy your VB applications efficiently and with confidence.What you will learnGet started with VB and explore its architecture and basic building blocksGain a clear understanding of business objects and learn how to manage themCreate service connections to connect to the external API and Oracle SaaSBuild web and mobile apps and run them on various devicesDevelop Oracle Cloud and non-Oracle SaaS app extensionsGet to grips with data and application security using practical examplesExplore best practices along with troubleshooting and debugging mechanismsConnect your VB application with VBS for application versioning using GitWho this book is forThis book is for IT professionals working with UI technologies to develop web and mobile applications for various industries. Developers and UI designers who want to understand how to use VB, develop scalable web and mobile applications using drag-and-drop features, and design applications in a better way with the help of real-time example apps and code samples will find this book helpful. Prior experience in any UI technology, JavaScript, and REST APIs will be useful.
DIY Microcontroller Projects for Hobbyists: The ultimate project-based guide to building real-world embedded applications in C and C++ programming
by Miguel Angel Garcia-Ruiz Pedro Cesar MancillaA practical guide to building PIC and STM32 microcontroller board applications with C and C++ programmingKey FeaturesDiscover how to apply microcontroller boards in real life to create interesting IoT projectsCreate innovative solutions to help improve the lives of people affected by the COVID-19 pandemicDesign, build, program, and test microcontroller-based projects with the C and C++ programming languageBook DescriptionWe live in a world surrounded by electronic devices, and microcontrollers are the brains of these devices. Microcontroller programming is an essential skill in the era of the Internet of Things (IoT), and this book helps you to get up to speed with it by working through projects for designing and developing embedded apps with microcontroller boards. DIY Microcontroller Projects for Hobbyists are filled with microcontroller programming C and C++ language constructs. You'll discover how to use the Blue Pill (containing a type of STM32 microcontroller) and Curiosity Nano (containing a type of PIC microcontroller) boards for executing your projects as PIC is a beginner-level board and STM-32 is an ARM Cortex-based board. Later, you'll explore the fundamentals of digital electronics and microcontroller board programming. The book uses examples such as measuring humidity and temperature in an environment to help you gain hands-on project experience. You'll build on your knowledge as you create IoT projects by applying more complex sensors. Finally, you'll find out how to plan for a microcontroller-based project and troubleshoot it. By the end of this book, you'll have developed a firm foundation in electronics and practical PIC and STM32 microcontroller programming and interfacing, adding valuable skills to your professional portfolio.What you will learnGet to grips with the basics of digital and analog electronicsDesign, build, program, and test a microcontroller-based systemUnderstand the importance and applications of STM32 and PIC microcontrollersDiscover how to connect sensors to microcontroller boardsFind out how to obtain sensor data via codingUse microcontroller boards in real life and practical projects Who this book is forThis STM32 PIC microcontroller book is for students, hobbyists, and engineers who want to explore the world of embedded systems and microcontroller programming. Beginners, as well as more experienced users of digital electronics and microcontrollers, will also find this book useful. Basic knowledge of digital circuits and C and C++ programming will be helpful but not necessary.
Okta Administration: Implement enterprise-grade identity and access management for on-premises and cloud apps
by Lovisa Stenbacken Stjernlof HenkJan de VriesPlan, design, and implement identity and access management solutions with OktaKey FeaturesLearn how to use Okta for complete identity and access management in your organizationUse single sign-on, multifactor authentication, and life cycle management for enhanced securitySet up, manage, and audit API access policiesBook DescriptionIAM, short for identity and access management, is a set of policies and technologies for ensuring the security of an organization through careful role and access assignment for users and devices. With this book, you'll get up and running with Okta, an identity and access management (IAM) service that you can use for both employees and customers.Once you've understood how Okta can be used as an IAM platform, you'll learn about the Universal Directory, which covers how to integrate other directories and applications and set up groups and policies. As you make progress, the book explores Okta's single sign-on (SSO) feature and multifactor authentication (MFA) solutions. Finally, you will delve into API access management and discover how you can leverage Advanced Server Access for your cloud servers and Okta Access Gateway for your on-premises applications.By the end of this Okta book, you'll have learned how to implement Okta to enhance your organization's security and be able to use this book as a reference guide for the Okta certification exam.What you will learnUnderstand different types of users in Okta and how to place them in groupsSet up SSO and MFA rules to secure your IT environmentGet to grips with the basics of end-user functionality and customizationFind out how provisioning and synchronization with applications workExplore API management, Access Gateway, and Advanced Server AccessBecome well-versed in the terminology used by IAM professionalsWho this book is forIf you are an IT consultant, business decision-maker, system administrator, system and security engineer, or anyone who wishes to use Okta to plan, design, and implement identity and access management solutions, this book is for you. A basic understanding of authentication and authorization is necessary.