A practical guide that helps you progress to using modern integration methods and leverage new cloud capability models Key Features * Design critical hybrid integration solutions for your organization * Gain in-depth knowledge of how to build cloud-native integration solutions * Leverage cognitive services to build smart cloud solutions Book Description With more enterprises adapting cloud-based and API-based solutions, application integration has become more relevant and significant than ever before. Parallelly, Serverless Integration has gained popularity, as it helps agile organizations to build integration solutions quickly without having to worry about infrastructure costs. With Microsoft Azure’s serverless offerings, such as Logic Apps, Azure Functions, API Management, Azure Event Grid and Service Bus, organizations can build powerful, secure, and scalable integration solutions with ease. The primary objective of this book is to help you to understand various serverless offerings included within Azure Integration Services, taking you through the basics and industry practices and patterns. This book starts by explaining the concepts of services such as Azure Functions, Logic Apps, and Service Bus with hands-on examples and use cases. After getting to grips with the basics, you will be introduced to API Management and building B2B solutions using Logic Apps Enterprise Integration Pack. This book will help readers to understand building hybrid integration solutions and touches upon Microsoft Cognitive Services and leveraging them in modern integration solutions. Industry practices and patterns are brought to light at appropriate opportunities while explaining various concepts. What you will learn * Learn about the design principles of Microsoft Azure Serverless Integration * Get insights into Azure Functions, Logic Apps, Azure Event Grid and Service Bus * Secure and manage your integration endpoints using Azure API Management * Build advanced B2B solutions using Logic Apps, Enterprise Integration Pack * Monitor integration solutions using tools available on the market * Discover design patterns for hybrid integration Who this book is for Serverless Integration Design Patterns with Azure is for you if you are a solution architect or integration professional aiming to build complex cloud solutions for your organization. Developers looking to build next-level hybrid or cloud solutions will also find this book useful. Prior programming knowledge is necessary.

Over 70 practical recipes to gain operational data intelligence with Splunk Enterprise About This Book This is the most up-to-date book on Splunk 6.3 and teaches you how to tackle real-world operational intelligence scenarios efficiently Get business insights using machine data using this easy-to-follow guide Search, monitor, and analyze your operational data skillfully using this recipe-based, practical guide Who This Book Is For This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of business, IT, security, product, marketing, and many more! Also, existing users of Splunk who want to upgrade and get up and running with Splunk 6.3 will find this book invaluable. What You Will Learn Use Splunk to gather, analyze, and report on data Create dashboards and visualizations that make data meaningful Build an operational intelligence application with extensive features and functionality Enrich operational data with lookups and workflows Model and accelerate data and perform pivot-based reporting Build real-time, *ed, and other intelligence-driven alerts Summarize data for longer term trending, reporting, and analysis Integrate advanced JavaScript charts and leverage Splunk's API In Detail Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 70 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. You’ll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You’ll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization. Throughout the book, you’ll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you’re taking advantage of it. Style and approach Splunk is an excellent platform that allows you to make sense of machine data with ease. The adoption of Splunk has been huge and everyone who has gone beyond installing Splunk wants to know how to make most of it. This book will not only teach you how to use Splunk in real-world scenarios to get business insights, but will also get existing Splunk users up to date with the latest Splunk 6.3 release.

Hone your skills by learning classic data structures and algorithms in JavaScript About This Book Understand common data structures and the associated algorithms, as well as the context in which they are used. Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs. All concepts are explained in an easy way, followed by examples. Who This Book Is For If you are a student of Computer Science or are at the start of your technology career and want to explore JavaScript’s optimum ability, this book is for you. You need a basic knowledge of JavaScript and programming logic to start having fun with algorithms. What You Will Learn Declare, initialize, add, and remove items from arrays, stacks, and queues Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures Harness the power of creating linked lists, doubly linked lists, and circular linked lists Store unique elements with hash tables, dictionaries, and sets Use binary trees and binary search trees Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sort In Detail This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you’ll encounter, we’ll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks. Toward the end of the book, you’ll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches. Style and approach This book gets straight to the point, providing you with examples of how a data structure or algorithm can be used and giving you real-world applications of the algorithm in JavaScript. With real-world use cases associated with each data structure, the book explains which data structure should be used to achieve the desired results in the real world.

100 recipes that teach you how to perform various machine learning tasks in the real world About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide Learn about perceptrons and see how they are used to build neural networks Stuck while making sense of images, text, speech, and real estateThis guide will come to your rescue, showing you how to perform machine learning for each one of these using various techniques Who This Book Is For This book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code. What You Will Learn Explore classification algorithms and apply them to the income bracket estimation problem Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Explore data visualization techniques to interact with your data in diverse ways Find out how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Analyze stock market data using Conditional Random Fields Work with image data and build systems for image recognition and biometric face recognition Grasp how to use deep neural networks to build an optical character recognition system In Detail Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you’ll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You’ll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples. Style and approach You will explore various real-life scenarios in this book where machine learning can be used, and learn about different building blocks of machine learning using independent recipes in the book.

Start pulling the strings of your infrastructure with Puppet – learn how to configure, customize, and manage your systems more intelligently About This Book Explore the wider Puppet ecosystem of useful tools Design and manage your Puppet architecture for optimum performance Write more efficient code that keeps your infrastructure more robust Who This Book Is For If you are a Puppet user, this book will help you on different levels. If you a beginner, we summarize the key Puppet components and give you the elements to have a broader vision. For more experienced users, you will be surprised by with topics on designing, implementing, adapting, and deploying Puppet architectures. If you are expert, you will find topics and information that is rarely exposed in other books, giving you an insight into Puppet's future and its usage on alternative devices. What You Will Learn Learn the principles of Puppet language and ecosystem Extract the features of Hiera and PuppetDB’s power usage Explore the different approaches to Puppet architecture design Use Puppet to manage network, cloud, and virtualization devices Manage and test the Puppet code workflow Tweak, hack, and adapt the Puppet extension points Get a run through of the strategies and patterns to introduce Puppet automation Master the art of writing reusable modules In Detail Puppet has changed the way we manage our systems, but Puppet itself is changing and evolving, and so are the ways we are using it. To tackle our IT infrastructure challenges and avoid common errors when designing our architectures, an up-to-date, practical, and focused view of the current and future Puppet evolution is what we need. With Puppet, you define the state of your IT infrastructure, and it automatically enforces the desired state. This book will be your guide to designing and deploying your Puppet architecture. It will help you utilize Puppet to manage your IT infrastructure. Get to grips with Hiera and learn how to install and configure it, before learning best practices for writing reusable and maintainable code. You will also be able to explore the latest features of Puppet 4, before executing, testing, and deploying Puppet across your systems. As you progress, Extending Puppet takes you through higher abstraction modules, along with tips for effective code workflow management. Finally, you will learn how to develop plugins for Puppet - as well as some useful techniques that can help you to avoid common errors and overcome everyday challenges. Style and approach This is a collection of specific information about multiple topics related to Puppet and its ecosystem. Starting from a review of the very basics to more advanced topics, mixing practical advice with important theory and broader perspective, along with implementation details.

A fast-paced guide to get you up and running with Android application development using Android Studio 2 About This Book Configure, build, and run Android projects with Android Studio 2 Test your apps using the Android emulator and learn how to manage virtual devices Explore how Android Studio 2 can be made a part of your workflow to reduce the overall development time Who This Book Is For If you are an Android developer looking to quickly take advantage of Android Studio 2 and add it to your workflow, then this book is for you. It is assumed that you are familiar with the OOP paradigm and Java. You are recommended to have prior knowledge of the main characteristics of the Android mobile system to get the most out of this book. What You Will Learn Install Android Studio on your system and configure the Android Software Development Kit Create your first project and explore its structure Manage a project in Android Studio 2 with Gradle Improve your productivity while programming by getting the best of the code editor Design the user interface using layouts and see how to handle various user events Integrate Google Play services into your project efficiently Monitor your app while it's running and constantly improve its performance In Detail Android Studio 2, the official IDE for Android application development, dramatically improves your workflow by letting you quickly see changes running on your device or emulator. It gives developers a unique platform by making app builds and deployment faster. This book will get you up and running with all the essential features of Android Studio 2 to optimize your development workflow. Starting off with the basic installation and configuration of Android Studio 2, this book will help you build a new project by showing you how to create a custom launcher icon and guiding you to choose your project. You will then gain an insight into the additional tools provided in Android Studio, namely the Software Development Kit (SDK) Manager, Android Virtual Device (AVD) Manager, and Javadoc. You’ll also see how to integrate Google Play Services in an Android project. Finally, you’ll become familiar with the Help section in Android Studio, which will enable you to search for support you might require in different scenarios. Style and approach A comprehensive and practical guide that will give you the essential skills required to develop Android applications quickly using Android Studio. With the help of a real-world project, this book will show how to make Android Studio a part of your development process and optimize it.

Build up your e-learning development skills with Articulate Storyline About This Book Develop interactive e-learning projects using advanced techniques Impress your clients and/or audience with out-of-the-box interactions Step-by-step walkthroughs provide practical solutions Who This Book Is For This book is for anyone experienced in using the basic functions of Articulate Storyline who are yearning to learn more. It’s designed to provide a brief overview of key concepts, to help you refresh your knowledge of common functions, and teach you how to push Storyline to the limit! What You Will Learn Familiarize yourself with best practices for e-learning development Review key Storyline concepts before diving in deep with development Discover new ways of working within Storyline to extend slide content and enhance interactivity Personalize your story with advanced variable-based interactions See how JavaScript can be used in your stories to do some really neat things Assess your learners using customized assessment options and find out how to troubleshoot common issues Customize the learning experience by modifying the player properties and publishing settings Customize your story and prepare it for publishing In Detail Storyline is a powerful e-learning authoring tool that allows you to take your creativity to the next level. However, more often than not, projects don't require such complex interactions, leaving Storyline's full capabilities untapped. This book will provide you with the information you need to take your Storyline development up a notch by leveraging the full suite of possibilities Storyline has to offer. You will be provided with a refresher of the key concepts before we take you deep into the exciting world of enhanced interactivity, variables, and even some JavaScript—oh my! With downloadable activities, you can either follow along and compare your output, use the activities as they are, modify the activities to suit your own needs, or reverse-engineer the activities to better understand how they were developed. Style and approach You’ll get hands-on working with project files that were created with you in mind. As you move through each chapters, the practical, step-by-step approach will get you using some of the more advanced features of Storyline to create polished and snazzy interactions.

Create real-time server-side applications with this practical, step-by-step guide About This Book Learn about server-side JavaScript with Node.js and Node modules through the most up-to-date book on Node.js web development Understand website development both with and without the Connect/Express web application framework Develop both HTTP server and client applications Who This Book Is For This book is for anybody looking for an alternative to the "P" languages (Perl, PHP, and Python), or anyone looking for a new paradigm of server-side application development. You should have at least a rudimentary understanding of JavaScript and web application development. What You Will Learn Install and use Node.js for both development and deployment Use the Express application framework Configure Bootstrap for mobile-first theming Use data storage engines such as MySQL, SQLITE3, and MongoDB Understand user authentication methods, including OAuth, with third-party services Deploy Node.js to live servers, including microservice development with Docker Perform unit testing with Mocha Perform functional testing of the web application with CasperJS In Detail Node.js is a server-side JavaScript platform using an event driven, non-blocking I/O model allowing users to build fast and scalable data-intensive applications running in real time. Node.js Web Development shows JavaScript is not just for browser-side applications. It can be used for server-side web application development, real-time applications, microservices, and much more. This book gives you an excellent starting point, bringing you straight to the heart of developing web applications with Node.js. You will progress from a rudimentary knowledge of JavaScript and server-side development to being able to create and maintain your own Node.js application. With this book you'll learn how to use the HTTP Server and Client objects, data storage with both SQL and MongoDB databases, real-time applications with Socket.IO, mobile-first theming with Bootstrap, microservice deployment with Docker, authenticating against third-party services using OAuth, and much more. Style and Approach This book is a practical guide for anyone looking to develop striking and robust web applications using Node.js.

Master the art of efficiently composing Azure services and implement them in real-world scenarios About This Book Build an effective development environment in Azure using the right set of technologies. Architect a full-stack solution in the cloud to choose the best service set A comprehensive guide full of real-life examples to help you take your developer skills up a notch Who This Book Is For If you are a developer, a full-stack developer, or an architect with an intermediate level understanding of cloud computing and Microsoft Azure, and you want to take your skills up a notch, this book is for you. Prior knowledge and understanding of cloud development strategies is assumed. What You Will Learn Set up a development environment with VMs, ARM, and RemoteApp Connect with VPNs to manage security and backups Establish a front-end architecture with AppService, storage, search, and caching Implement identity solutions, integrate applications, and use data Integrate cross-platform mobile applications with the cloud Consistently build and manage an API layer for millions of users Work with messages in the enterprise Deploy your services as an IT expert with ARM templates In Detail Microsoft Azure is a cloud computing platform that supports many different programming languages, tools, and frameworks, including both Microsoft-specific and third-party software and systems. This book starts by helping you set up a professional development environments in the cloud and integrating them with your local environment to achieve improved efficiency. You will move on to create front-end and back-end services, and then build cross-platform applications using Azure. Next you’ll get to grips with advanced techniques used to analyze usage data and automate billing operations. Following on from that, you will gain knowledge of how you can extend your on-premise solution to the cloud and move data in a pipeline. In a nutshell, this book will show you how to build high-quality, end-to-end services using Microsoft Azure. By the end of this book, you will have the skillset needed to successfully set up, develop, and manage a full-stack Azure infrastructure. Style and Approach This comprehensive guide to Azure has both explorative parts and step-by-step ones. Each chapter defines a learning path to a specific scenario, mixing the appropriate technologies and building blocks efficiently.

Explore the world of data science from scratch with Julia by your side About This Book An in-depth exploration of Julia's growing ecosystem of packages Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn about deep learning using Mocha.jl and give speed and high performance to data analysis on large data sets Who This Book Is For This book is aimed at data analysts and aspiring data scientists who have a basic knowledge of Julia or are completely new to it. The book also appeals to those competent in R and Python and wish to adopt Julia to improve their skills set in Data Science. It would be beneficial if the readers have a good background in statistics and computational mathematics. What You Will Learn Apply statistical models in Julia for data-driven decisions Understanding the process of data munging and data preparation using Julia Explore techniques to visualize data using Julia and D3 based packages Using Julia to create self-learning systems using cutting edge machine learning algorithms Create supervised and unsupervised machine learning systems using Julia. Also, explore ensemble models Build a recommendation engine in Julia Dive into Julia’s deep learning framework and build a system using Mocha.jl In Detail Julia is a fast and high performing language that's perfectly suited to data science with a mature package ecosystem and is now feature complete. It is a good tool for a data science practitioner. There was a famous post at Harvard Business Review that Data Scientist is the sexiest job of the 21st century. (https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century). This book will help you get familiarised with Julia's rich ecosystem, which is continuously evolving, allowing you to stay on top of your game. This book contains the essentials of data science and gives a high-level overview of advanced statistics and techniques. You will dive in and will work on generating insights by performing inferential statistics, and will reveal hidden patterns and trends using data mining. This has the practical coverage of statistics and machine learning. You will develop knowledge to build statistical models and machine learning systems in Julia with attractive visualizations. You will then delve into the world of Deep learning in Julia and will understand the framework, Mocha.jl with which you can create artificial neural networks and implement deep learning. This book addresses the challenges of real-world data science problems, including data cleaning, data preparation, inferential statistics, statistical modeling, building high-performance machine learning systems and creating effective visualizations using Julia. Style and approach This practical and easy-to-follow yet comprehensive guide will get you learning about Julia with respect to data science. Each topic is explained thoroughly and placed in context. For the more inquisitive, we dive deeper into the language and its use case. This is the one true guide to working with Julia in data science.

Start empowering users and protecting corporate data, while managing Identities and Access with Microsoft Azure in different environments About This Book Deep dive into the Microsoft Identity and Access Management as a Service (IDaaS) solution Design, implement and manage simple and complex hybrid identity and access management environments Learn to apply solution architectures directly to your business needs and understand how to identify and manage business drivers during transitions Who This Book Is For This book is for business decision makers, IT consultants, and system and security engineers who wish to plan, design, and implement Identity and Access Management solutions with Microsoft Azure. What You Will Learn Apply technical de*ions and solution architectures directly to your business needs and deployments Identify and manage business drivers and architecture changes to transition between different scenarios Understand and configure all relevant Identity and Access Management key features and concepts Implement simple and complex directory integration, authentication, and authorization scenarios Get to know about modern identity management, authentication, and authorization protocols and standards Implement and configure a modern information protection solution Integrate and configure future improvements in authentication and authorization functionality of Windows 10 and Windows Server 2016 In Detail Microsoft Azure and its Identity and Access Management is at the heart of Microsoft’s Software as a Service, including Office 365, Dynamics CRM, and Enterprise Mobility Management. It is an essential tool to master in order to effectively work with the Microsoft Cloud. Through practical, project based learning this book will impart that mastery. Beginning with the basics of features and licenses, this book quickly moves on to the user and group lifecycle required to design roles and administrative units for role-based access control (RBAC). Learn to design Azure AD to be an identity provider and provide flexible and secure access to SaaS applications. Get to grips with how to configure and manage users, groups, roles, and administrative units to provide a user- and group-based application and self-service access including the audit functionality. Next find out how to take advantage of managing common identities with the Microsoft Identity Manager 2016 and build cloud identities with the Azure AD Connect utility. Construct blueprints with different authentication scenarios including multi-factor authentication. Discover how to configure and manage the identity synchronization and federation environment along with multi -factor authentication, conditional access, and information protection scenarios to apply the required security functionality. Finally, get recommendations for planning and implementing a future-oriented and sustainable identity and access management strategy. Style and approach A practical, project-based learning experience explained through hands-on examples.

Your one-stop resource for mastering extensions and customizations in JIRA 7+ About This Book Explore the new features of JIRA 7 and best practices for agile development and integration with development tools Customize the look and feel of your JIRA UI to match your specific user needs Create seamless reports that make sense of your data through easy-to-use techniques Who This Book Is For If you are a JIRA developer or administrator, or a project manager who wants to fully exploit the exciting capabilities of JIRA, then this is the perfect book for you. What You Will Learn Create and deploy your own JIRA plugins Manipulate workflows to transform JIRA into a user-friendly system Create custom reports that show statistics for particular people, projects, versions, or other fields within issues Simplify reporting by writing your own JIRA gadgets, which can be added into a user's dashboard Master database handling by extending and retrieving custom field details from the database Deal with custom fields on an issue and program custom field option In Detail JIRA provides issue and project tracking for software development teams to improve code quality and the speed of development. With the new version of JIRA, you can create your own JIRA plugins and customize the look and feel of your JIRA UI easier than ever. JIRA Development Cookbook , Third Edition, is a one-stop resource to master extensions and customizations in JIRA. This book starts with recipes about simplifying the plugin development process followed by recipes dedicated to the plugin framework. Then, you will move on to writing custom field plugins to create new field types or custom searchers. You will also learn how to program and customize workflows to transform JIRA into a user-friendly system. With so much data spanning different projects, issues, and so on, we will cover how to work on reports and gadgets to get customized data according to our needs. At the end of the book, you will learn how to customize JIRA by adding new tabs, menus, and web items; communicate with JIRA via the REST APIs; and work with the JIRA database. Style and approach The most unique aspect of this book is its approach. This book is recipe-based, with real-world examples, that will empower you to implement agile processes and explore the exciting capabilities of Jira.

Master powerful strategies to acquire and analyze evidence from real-life scenarios About This Book A straightforward guide to address the roadblocks face when doing mobile forensics Simplify mobile forensics using the right mix of methods, techniques, and tools Get valuable advice to put you in the mindset of a forensic professional, regardless of your career level or experience Who This Book Is For This book is for forensic analysts and law enforcement and IT security officers who have to deal with digital evidence as part of their daily job. Some basic familiarity with digital forensics is assumed, but no experience with mobile forensics is required. What You Will Learn Understand the challenges of mobile forensics Grasp how to properly deal with digital evidence Explore the types of evidence available on iOS, Android, Windows, and BlackBerry mobile devices Know what forensic outcome to expect under given circumstances Deduce when and how to apply physical, logical, over-the-air, or low-level (advanced) acquisition methods Get in-depth knowledge of the different acquisition methods for all major mobile platforms Discover important mobile acquisition tools and techniques for all of the major platforms In Detail Investigating digital media is impossible without forensic tools. Dealing with complex forensic problems requires the use of dedicated tools, and even more importantly, the right strategies. In this book, you’ll learn strategies and methods to deal with information stored on smartphones and tablets and see how to put the right tools to work. We begin by helping you understand the concept of mobile devices as a source of valuable evidence. Throughout this book, you will explore strategies and "plays" and decide when to use each technique. We cover important techniques such as seizing techniques to shield the device, and acquisition techniques including physical acquisition (via a USB connection), logical acquisition via data backups, over-the-air acquisition. We also explore cloud analysis, evidence discovery and data analysis, tools for mobile forensics, and tools to help you discover and analyze evidence. By the end of the book, you will have a better understanding of the tools and methods used to deal with the challenges of acquiring, preserving, and extracting evidence stored on smartphones, tablets, and the cloud. Style and approach This book takes a unique strategy-based approach, executing them on real-world scenarios. You will be introduced to thinking in terms of "game plans," which are essential to succeeding in analyzing evidence and conducting investigations.

Learn how to build native, cross-platform mapping apps with this comprehensive and practical guide, using the MVVM pattern About This Book Enhance the user experience with the power of ArcGIS runtime SDK for .NET. This clear, well segregated book has all the information you need on ArcGIS Runtime SDK. Just name it—this book has it! This highly practical book empowers you to build your own custom application! Get to know the inner details of ArcGIS Runtime SDK from our experts, in this book written by Ron Vincent, with 24 years' experience in the GIS industry and many in GIS training. Who This Book Is For This book caters to long-term users of Esri’s technologies that are new to mobile development or are transitioning from older Esri technologies such as ArcGIS Engine. It is also for users who are unfamiliar with Esri or GIS and are in need of a mapping solution for either their desktop or a mobile platform, or both. The book requires knowledge of .NET. What You Will Learn Understand and implement the MVVM pattern using MVVM Light Create and add layers from offline and online resources such as ArcGIS Online or ArcGIS for Server Create a 2D or 3D map and decide what kind of symbology to use Symbolize the layers based on the geometry Search and find objects in the layers Geocode an address and create a route using an address Edit layer objects from online content and offline content Test the application using test-driven development and then build and release the application for the intended audience In Detail ArcGIS is a geographic information system (GIS) that enables you to work with maps and geographic information. It can be used to create and utilize maps, compile geographic data, analyze mapped information, share and discover geographic information and manage geographic information in a database. This book starts by showing you where ArcGIS Runtime fits within Esri’s overall platform strategy. You'll create an initial map using the SDK, then use it to get an understanding of the MVVM model. You'll find out about the different kinds of layers and start adding layers, and you'll learn to transform maps into a 3D scene. The next chapters will help you comprehend and extract information contained in the maps using co-ordinates and layer objects. Towards the end, you will learn to set the symbology, decide whether to use 2D or 3D, see how to implement 2D or 3D, and learn to search and find objects. You'll also get to grips with many other standard features of the Application Programming Interface (API), including create applications and finally testing, licensing, and deploying them. Once completed, you will be able to meet most of the common requirements of any mapping application for desktop or mobile platforms. Style and approach This comprehensive book takes a completely practical approach, where every chapter explains the important concepts and demonstrates a practical application of them in a hands-on manner.

Leverage the power of Xamarin to create stunning cross-platform and native apps About This Book Helps you get a clear practical understanding of creating professional-grade apps with Xamarin Covers Xamarin.Forms, Xamarin Android, and Xamarin iOS If you want to transform yourself from an amateur mobile developer into a professional app developer across multiple platforms, then this is the ideal book for you Who This Book Is For If you are a mobile developer looking to create interesting and fully featured apps for different platforms, then this book is the ideal solution for you. A basic knowledge of Xamarin and C# programming is assumed What You Will Learn Discover eight different ways to create your own Xamarin applications Improve app performance by using SQLite for data-intensive applications Set up a simple web service to feed JSON data into mobile applications Store files locally with Xamarin.Forms using dependency services Use Xamarin extension libraries to create effective applications with less coding In Detail Do you want to create powerful, efficient, and independent apps from scratch that will leverage the Xamarin framework and code with C#Well, look no further; you’ve come to the right place! This is a learn-as-you-build practical guide to building eight full-fledged applications using Xamarin.Forms, Xamarin Android, and Xamarin iOS. Each chapter includes a project, takes you through the process of building applications (such as a gallery Application, a text-to-speech service app, a GPS locator app, and a stock market app), and will show you how to deploy the application’s source code to a Google Cloud Source Repository. Other practical projects include a chat and a media-editing app, as well as other examples fit to adorn any developer’s utility belt. In the course of building applications, this book will teach you how to design and prototype professional-grade applications implementing performance and security considerations. Style and approach A project-based approach that will solve all your needs when it comes to creating native Android, iOS, and cross-platform apps efficiently and effectively.

A fast-paced and practical guide to demystifying big data and transforming it into operational intelligence About This Book Want to get started with Splunk to analyze and visualize machine dataOpen this book and step into the world of Splunk. Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business This easy-to-follow, practical book can be used by anyone, even if you have never managed any data before Who This Book Is For This book will be perfect for you if you are a Software engineer or developer or System administrators or Business analyst who seek to correlate machine data with business metrics and provide intuitive real-time and statistical visualizations. Some knowledge or experience of previous versions of Splunk will be helpful but not essential. What You Will Learn Install and configure Splunk Gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields Be comfortable with the Search Processing Language and get to know the best practices in writing search queries Create stunning and powerful dashboards Be proactive by implementing alerts and scheduled reports Use the Splunk SDK and integrate Splunk data into other applications Implement the best practices in using Splunk. In Detail Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions. This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk. Style and approach This fast-paced, example-rich guide will help you analyze and visualize machine data with Splunk through simple, practical instructions.

A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.

Build rich, high production value mobile games and distribute them across different platforms with Buildbox About This Book Create captivating 2D & 2.5D (isometric) video games for all platforms Leverage Buildbox to monetize and prepare your games for distribution This step-by-step tutorial will get you generating complex and media rich games with no coding experience Who This Book Is For This book caters to those who have an interest or desire to create their own mobile games either as a hobbyist or who are looking to enhance their skills as a professional games developer. No coding experience is required. What You Will Learn Create the illusion of a 3D background in your game using parallax Add advanced controls and obstacles to our first world Develop assets (graphic and audio) for the Buildbox engine Design games based on the capabilities and limitations of Buildbox and their target platforms Compile and distribute video games on various channels such as Steam, iOS store, Android stores, and the Mac App Store Optimize your games to get the absolute best quality within platform restrictions Conquer common issues experienced with Buildbox development In Detail Buildbox is an “any skill level” development platform to develop video games with no coding experience. It also exports these games to be compiled for any platform (from Windows to Mac to iOS to Android and Blackberry) all using the same graphic user interface. Using an example as a tutorial, we will relate the driving principles and you’ll see how you can implement these principles to develop any games on the platform. We begin by setting expectations and providing a brief overview of the software. But it’s not long before you “dive in” to creating your first video game. You will actually have a playable level (“world”) by the end of the second chapter. Later on, you’ll learn everything from basic graphics creation to advanced world design while you refine your first game, called “Ramblin’ Rover.” All along the way, you will see how certain functions could be used in tandem to create other types of games; hoping to spark imagination. We will follow the principles and process of monetization through ads and in-game rewards. Lastly, we will go through the process of exporting, compiling, and preparing your storefront to sell the games you will eventually create. Style and approach This book follows a tutorial-based approach that teaches through examples, while also providing the necessary principles to enable you to abstract these principles into any game you want to make.

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 About This Book Perform data analysis and build predictive models on huge datasets that leverage Apache Spark Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges Work through practical examples on real-world problems with sample code snippets Who This Book Is For This book is for anyone who wants to leverage Apache Spark for data science and machine learning. If you are a technologist who wants to expand your knowledge to perform data science operations in Spark, or a data scientist who wants to understand how algorithms are implemented in Spark, or a newbie with minimal development experience who wants to learn about Big Data Analytics, this book is for you! What You Will Learn Consolidate, clean, and transform your data acquired from various data sources Perform statistical analysis of data to find hidden insights Explore graphical techniques to see what your data looks like Use machine learning techniques to build predictive models Build scalable data products and solutions Start programming using the RDD, DataFrame and Dataset APIs Become an expert by improving your data analytical skills In Detail This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages. Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R. With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects. Style and approach This book takes a step-by-step approach to statistical analysis and machine learning, and is explained in a conversational and easy-to-follow style. Each topic is explained sequentially with a focus on the fundamentals as well as the advanced concepts of algorithms and techniques. Real-world examples with sample code snippets are also included.

Use Hadoop to solve business problems by learning from a rich set of real-life case studies About This Book Solve real-world business problems using Hadoop and other Big Data technologies Build efficient data lakes in Hadoop, and develop systems for various business cases like improving marketing campaigns, fraud detection, and more Power packed with six case studies to get you going with Hadoop for Business Intelligence Who This Book Is For If you are interested in building efficient business solutions using Hadoop, this is the book for you This book assumes that you have basic knowledge of Hadoop, Java, and any *ing language. What You Will Learn Learn about the evolution of Hadoop as the big data platform Understand the basics of Hadoop architecture Build a 360 degree view of your customer using Sqoop and Hive Build and run classification models on Hadoop using BigML Use Spark and Hadoop to build a fraud detection system Develop a churn detection system using Java and MapReduce Build an IoT-based data collection and visualization system Get to grips with building a Hadoop-based Data Lake for large enterprises Learn about the coexistence of NoSQL and In-Memory databases in the Hadoop ecosystem In Detail If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space. Style and approach This is an example-driven book where each chapter covers a single business problem and describes its solution by explaining the structure of a dataset and tools required to process it. Every project is demonstrated with a step-by-step approach, and explained in a very easy-to-understand manner.

Unleash the power of XMPP in order to build exciting, real-time, federated applications based on open standards in a secure and highly scalable fashion About This Book Learn about the fundamentals of XMPP and be able to work with the core functionality both server-side and in the browser Build a simple 1-to-1 chat (the “Hello World” of XMPP), explore multi-user chat, publish subscribe systems, and work with a decentralized social network Author Lloyd Watkins is a member of the XMPP standards committee Who This Book Is For If you want to learn about the fundamentals of XMPP, be able to work with the core functionality both server-side and in the browser then this book is for you.No knowledge of XMPP is required, or of TCP/IP networking. It's important that you already know how to build applications of some form, and are looking get a better understanding of how to implement XMPP for one or more of its many uses. You should be interested in the decentralized web, know HTML, and likely know JavaScript and NodeJS. You will probably know JSON, and hopefully XML (this is the native output of XMPP). What You Will Learn Install and configure an XMPP server and use it to connect from a traditional desktop client and send a message Build a simple server-side application that will respond to messages from our logged in desktop client Install and run XMPP-FTW, connect to the server from the browser, and handle incoming/outgoing messages Connect to a multi-user chat room, send/receive stanzas, add a room password, join a protected room, set the room’s subject, and change a user's affiliation Get to grips with the publish-subscribe extension of XMPP and use it to build a pusher system that can make any website real-time Build a simple XMPP component and create an extension for XMPP-FTW that allows you to use your own custom format Build an XMPP version of the classic game “Pong” In Detail XMPP (eXtensible Messaging and Presence Protocol) is a messaging protocol that enables communication between two or more devices via the Internet. With this book, developers will learn about the fundamentals of XMPP, be able to work with the core functionality both server-side and in the browser, as well as starting to explore several of the protocol extensions. You will not only have a solid grasp of XMPP and how it works, but will also be able to use the protocol to build real-world applications that utilize the power of XMPP. By the end of this book, you will know more about networking applications in general, and have a good understanding of how to extend XMPP, as well as using it in sample applications. Style and approach Through a number of hands-on projects, this book shows you how to build usable applications that highlights a feature of XMPP.