Learn idiomatic, efficient, clean, and extensible Go design and concurrency patterns by using TDD About This Book A highly practical guide filled with numerous examples unleashing the power of design patterns with Go. Discover an introduction of the CSP concurrency model by explaining GoRoutines and channels. Get a full explanation, including comprehensive text and examples, of all known GoF design patterns in Go. Who This Book Is For The target audience is both beginner- and advanced-level developers in the Go programming language. No knowledge of design patterns is expected. What You Will Learn All basic syntax and tools needed to start coding in Go Encapsulate the creation of complex objects in an idiomatic way in Go Create unique instances that cannot be duplicated within a program Understand the importance of object encapsulation to provide clarity and maintainability Prepare cost-effective actions so that different parts of the program aren’t affected by expensive tasks Deal with channels and GoRoutines within the Go context to build concurrent application in Go in an idiomatic way In Detail Go is a multi-paradigm programming language that has built-in facilities to create concurrent applications. Design patterns allow developers to efficiently address common problems faced during developing applications. Go Design Patterns will provide readers with a reference point to software design patterns and CSP concurrency design patterns to help them build applications in a more idiomatic, robust, and convenient way in Go. The book starts with a brief introduction to Go programming essentials and quickly moves on to explain the idea behind the creation of design patterns and how they appeared in the 90’s as a common "language" between developers to solve common tasks in object-oriented programming languages. You will then learn how to apply the 23 Gang of Four (GoF) design patterns in Go and also learn about CSP concurrency patterns, the "killer feature" in Go that has helped Google develop software to maintain thousands of servers. With all of this the book will enable you to understand and apply design patterns in an idiomatic way that will produce concise, readable, and maintainable software. Style and approach This book will teach widely used design patterns and best practices with Go in a step-by-step manner. The code will have detailed examples, to allow programmers to apply design patterns in their day-to-day coding.

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide About This Book ?Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow ?Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide ?Real-world contextualization through some deep learning problems concerning research and application Who This Book Is For The book is intended for a general audience of people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus. What You Will Learn ?Learn about machine learning landscapes along with the historical development and progress of deep learning ?Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x ?Access public datasets and utilize them using TensorFlow to load, process, and transform data ?Use TensorFlow on real-world datasets, including images, text, and more ?Learn how to evaluate the performance of your deep learning models ?Using deep learning for scalable object detection and mobile computing ?Train machines quickly to learn from data by exploring reinforcement learning techniques ?Explore active areas of deep learning research and applications

Do you want to make sense of your data? Do you want to create interactive charts, data trees, info-graphics, geospatial charts, and maps efficiently? This book is your ideal choice to master interactive data visualization with D3.js V4. The book includes a number of extensive examples that to help you hone your skills with data visualization. Throughout nine chapters these examples will help you acquire a clear practical understanding of the various techniques, tools and functionality provided by D3.js. You will first setup your D3.JS development environment and learn the basic patterns needed to visualize your data. After that you will learn techniques to optimize different processes such as working with selections; animating data transitions; creating graps and charts, integrating external resources (static as well as streaming); visualizing information on maps; working with colors and scales; utilizing the different D3.js APIs; and much more. The book will also guide you through creating custom graphs and visualizations, and show you how to go from the raw data to beautiful visualizations. The extensive examples will include working with complex and realtime data streams, such as seismic data, geospatial data, scientific data, and more. Towards the end of the book, you will learn to add more functionality on top of D3.js by using it with other external libraries and integrating it with Ecma* 6 and Type*

Writing concurrent and parallel programming applications is an integral skill for any Java programmer. Java 9 comes with a host of fantastic features, including significant performance improvements and new APIs. This book will take you through all the new APIs, showing you how to build parallel and multi-threaded applications. The book covers all the elements of the Java Concurrency API, with essential recipes that will help you take advantage of the exciting new capabilities. You will learn how to use parallel and reactive streams to process massive data sets. Next, you will move on to create streams and use all their intermediate and terminal operations to process big collections of data in a parallel and functional way. Further, you ll discover a whole range of recipes for almost everything, such as thread management, synchronization, executors, parallel and reactive streams, and many more. At the end of the book, you will learn how to obtain information about the status of some of the most useful components of the Java Concurrency API and how to test concurrent applications using different tools. What you will learn ?Find out to manage the basic components of the Java Concurrency API ?Use synchronization mechanisms to avoid data race conditions and other problems of concurrent applications ?Separate the thread management from the rest of the application with the Executor framework ?Solve problems using a parallelized version of the divide and conquer paradigm with the Fork / Join framework ?Process massive data sets in an optimized way using streams and reactive streams ?See which data structures we can use in concurrent applications and how to use them ?Practice efficient techniques to test concurrent applications ?Get to know tips and tricks to design concurrent applications

This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer. Finally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks. What you will learn ?Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm ?Fine-tune a neural network to improve the quality of results ?Use deep learning for image and audio processing ?Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases ?Identify problems

Spatial statistics has the potential to provide insight that is not otherwise available through traditional GIS tools. This book is designed to introduce you to the use of spatial statistics so you can solve complex geographic analysis. The book begins by introducing you to the many spatial statistics tools available in ArcGIS. You will learn how to analyze patterns, map clusters, and model spatial relationships with these tools. Further on, you will explore how to extend the spatial statistics tools currently available in ArcGIS, and use the R programming language to create custom tools in ArcGIS through the ArcGIS Bridge using real-world examples. At the end of the book, you will be presented with two exciting case studies where you will be able to practically apply all your learning to analyze and gain insights into real estate data. What you will learn ?Get to know how to measure geographic distributions ?Perform clustering analysis including hot spot and outlier analysis ?Conduct data conversion tasks using the Utilities toolset ?Understand how to use the tools provided by the Mapping Clusters toolset in the Spatial Statistics Toolbox ?Get to grips with the basics of R for performing spatial statistical programming ?Create custom ArcGIS tools with R and ArcGIS Bridge ?Understand the application of Spatial Statistics tools

Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data. Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings. What you will learn ?Get a solid understanding of the data processing toolbox available in Java ?Explore the data science ecosystem available in Java

Work through recipes to unlock the full potential of the next generation graphics API―Vulkan About This Book ?This book explores a wide range of modern graphics programming techniques and GPU compute methods to make the best use of the Vulkan API ?Learn techniques that can be applied to a wide range of platforms desktop, smartphones, and embedded devices Who This Book Is For This book is ideal for developers who know C/C++ languages, have some basic familiarity with graphics programming, and now want to take advantage of the new Vulkan API in the process of building next generation computer graphics. Some basic familiarity of Vulkan would be useful to follow the recipes. OpenGL developers who want to take advantage of the Vulkan API will also find this book useful. What You Will Learn?Work with Swapchain to present images on screen ?Create, submit, and synchronize operations processed by the hardware ?Create buffers and images, manage their memory, and upload data to them from CPU ?Explore de*or sets and set up an interface between application and shaders ?Organize drawing operations into a set of render passes and subpasses ?Prepare graphics pipelines to draw 3D scenes and compute pipelines to perform mathematical calculations ?Implement geometry projection and tessellation, texturing, lighting, and post-processing techniques ?Write shaders in GLSL and convert them into SPIR-V assemblies ?Find out about and

"Key Features ?Get to the grips with the latest version of Apache Spark ?Utilize Spark's machine learning library to implement predictive analytics ?Leverage Spark's powerful tools to load, analyze, clean, and transform your data Book De*ion Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression. This book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering, classification, and regression. Toward the end, we will also cover text processing using Spark ML. Once you have learned the concepts, they can be applied to implement algorithms in either green-field implementations or to migrate existing systems to this new platform. You can migrate from Mahout or Scikit to use Spark ML. What you will learn ?Get hands-on with the latest version of Spark ML ?Create your first Spark program with Scala and Python ?Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2 ?Access public machine learning datasets and use Spark to load, process, clean, and transform data ?Use Spark's machine learning library to implement programs by utilizing well-known machine learning models ?Deal with large-scale text data, including feature extraction and using text data as input to your machine learning models ?Write Spark functions to evaluate the performance of your machine learning models "

Learn how to build, test, secure, deploy, and efficiently consume services across distributed systems. About This Book ? Explore the wealth of options provided by Spring Cloud for wiring service dependencies in microservice systems. ? Create microservices utilizing Spring Cloud's Netflix OSS ? Architect your cloud-native data using Spring Cloud. Who This Book Is For This book appeals to developers keen to take advantage of Spring cloud, an open source library which helps developers quickly build distributed systems. Knowledge of Java and Spring Framework will be helpful, but no prior exposure to Spring Cloud is required. What You Will Learn ? Abstract Spring Cloud's feature set ? Create microservices utilizing Spring Cloud's Netflix OSS ? Create synchronous API microservices based on a message-driven architecture. ? Explore advanced topics such as distributed tracing, security, and contract testing. ? Manage and deploy applications on the production environment In Detail Developing, deploying, and operating cloud applications should be as easy as local applications. This should be the governing principle behind any cloud platform, library, or tool. Spring Cloud–an open-source library–makes it easy to develop JVM applications for the cloud. In this book, you will be introduced to Spring Cloud and will master its features from the application developer's point of view. This book begins by introducing you to microservices for Spring and the available feature set in Spring Cloud. You will learn to configure the Spring Cloud server and run the Eureka server to enable service registration and discovery. Then you will learn about techniques related to load balancing and circuit breaking and utilize all features of the Feign client. The book now delves into advanced topics where you will learn to implement distributed tracing solutions for Spring Cloud and build message-driven microservice architectures. Before running an application on Docker container s, you will master testing and securing techniques with Spring Cloud. Style and approach This comprehensive guide covers the advanced features of Spring Cloud and communicates them through a practical approach to explore the underlying concepts of how, when, and why to use them.

Discover how to rapidly prototype SEO-friendly web applications with Angular Universal About This Book : ? Rapidly build an application that's optimized for search performance ? Develop service workers to make your application truly progressive ? Automatically update metadata and load in content from external APIs Who This Book Is For : This book is ideal for experienced front-end developers who are looking to quickly work through an intelligent example that demonstrates all the key features of server-side development with Angular. You'll need some prior exposure to Angular, as we skim over the basics and get straight to work. What You Will Learn : ? Use the official tools provided by Angular to build an SEO-friendly application ? Create a dynamic web application that maps to current Angular best practices ? Manage your Angular applications with Angular CLI ? Implement server-side rendering for your future web application projects ? Configure service workers to automatically update your application in the background In Detail : Equip yourself with the skills required to create modern, progressive web applications that load quickly and efficiently. This fast-paced guide to server-side Angular leads you through an example application that uses Angular Universal to render application pages on the server, rather than the client. You'll learn how to serve your users views that load instantly, while reaping all the SEO benefits of improved page indexing. With differences of just 200 milliseconds in performance having a measurable impact on your users, it's more important than ever to get server-side right. Style and approach : With this book, you'll be equipped to create modern, SEO-friendly web apps with best practices using Angular CLI. This book focuses on creating a progressive web app using Angular that is optimized for search engines.

A practical guide for building effective enterprise solutions with Java EE 8 About This Book ? Recipes to get you up-and-running with Java EE 8 application development ? Learn how to apply the major Java EE 8 APIs and specifications ? Implement microservices and Reactive programming with Java EE 8 Who This Book Is For This book is for developers who want to become proficient with Java EE 8 for their enterprise application development. Basic knowledge of Java is assumed What You Will Learn ? Actionable information on the new features of Java EE 8 ? Using the most important APIs with real and working code ? Building server side applications, web services, and web applications ? Deploying and managing your application using the most important Java EE servers ? Building and deploying microservices using Java EE 8 ? Building Reactive application by joining Java EE APIs and core Java features ? Moving your application to the cloud using containers ? Practical ways to improve your projects and career through community involvement In Detail Java EE is a collection of technologies and APIs to support Enterprise Application development. The choice of what to use and when can be dauntingly complex for any developer. This book will help you master this. Packed with easy to follow recipes, this is your guide to becoming productive with Java EE 8. You will begin by seeing the latest features of Java EE 8, including major Java EE 8 APIs and specifications such as JSF 2.3, and CDI 2.0, and what they mean for you. You will use the new features of Java EE 8 to implement web-based services for your client applications. You will then learn to process the Model and Streaming APIs using JSON-P and JSON-B and will learn to use the Java Lambdas support offered in JSON-P. There are more recipes to fine-tune your RESTful development, and you will learn about the Reactive enhancements offered by the JAX-RS 2.1 specification. Later on, you will learn about the role of multithreading in your enterprise applications and how to integrate them for transaction handling. This is followed by implementing microservices with Java EE and the advancements made by Java EE for cloud computing. The final set of recipes shows you how take advantage of the latest security features and authenticate your enterprise application. At the end of the book, the Appendix shows you how knowledge sharing can change your career and your life. Style and approach Task based learning guide to help ease application development with Java EE.

Learn to develop, test, and deploy your Spring Boot distributed application and explore various best practices. About This Book ? Build and deploy your microservices architecture in the cloud ? Build event-driven resilient systems using Hystrix and Turbine ? Explore API management tools such as KONG and API documentation tools such as Swagger Who This Book Is For The book is targeted at experienced Spring and Java developers who have a basic knowledge of working with Spring Boot. The reader should be familiar with Spring Boot basics, and aware of its benefits over traditional Spring Framework-based applications. What You Will Learn ? Build logically structured and highly maintainable Spring Boot applications ? Configure RESTful microservices using Spring Boot ? Make the application production and operation-friendly with Spring Actuator ? Build modern, high-performance distributed applications using cloud patterns ? Manage and deploy your Spring Boot application to the cloud (AWS) ? Monitor distributed applications using log aggregation and ELK In Detail Spring is one of the best frameworks on the market for developing web, enterprise, and cloud ready software. Spring Boot simplifies the building of complex software dramatically by reducing the amount of boilerplate code, and by providing production-ready features and a simple deployment model. This book will address the challenges related to power that come with Spring Boot's great configurability and flexibility. You will understand how Spring Boot configuration works under the hood, how to overwrite default configurations, and how to use advanced techniques to prepare Spring Boot applications to work in production. This book will also introduce readers to a relatively new topic in the Spring ecosystem – cloud native patterns, reactive programming, and applications. Get up to speed with microservices with Spring Boot and Spring Cloud. Each chapter aims to solve a specific problem or teach you a useful skillset. By the end of this book, you will be proficient in building and deploying your Spring Boot application. Style and approach The book takes a practical, example-driven approach to teaching you all the advanced features of Spring Boot 2.0

Work with the newest Oracle API Platform Cloud Service to interface with the increasingly complex array of services your clients want. About This Book ? Understand the architecture and functionality of the new Oracle API Cloud Service Platform ? Understand typical use cases for the new platform and how it can work for you ? Design your own APIs, then deploy and customize your APIs ? Implement Oauth 2.0 policy and custom policies ? Migrate from Oracle 12c solutions to the new Oracle API platform Who This Book Is For This book is for all Oracle developers who are working or plan to work with the Oracle API Platform Cloud Service. What You Will Learn ? Get an overview of the Oracle API Cloud Service Platform ? See typical use cases of the Oracle API Cloud Service Platform ? Design your own APIs using Apiary ? Build and run microservices ? Set up API gateways with the new API platform from Oracle ? Customize developer portals ? Configuration management ? Implement Oauth 2.0 policies ? Implement custom policies ? Get a policy SDK overview ? Transition from Oracle API Management 12c to the new Oracle API platform In Detail Implementing Oracle API Platform Cloud Service moves from theory to practice using the newest Oracle API management platform. This critical new platform for Oracle developers allows you to interface the complex array of services your clients expect in the modern world. First, you'll learn about Oracle’s new platform and get an overview of it, then you'll see a use case showing the functionality and use of this new platform for Oracle customers. Next, you’ll see the power of Apiary and begin designing your own APIs. From there, you’ll build and run microservices and set up the Oracle API gateways. Moving on, you’ll discover how to customize the developer portal and publish your own APIs. You’ll spend time looking at configuration management on the new platform, and implementing the Oauth 2.0 policy, as well as custom policies. The latest finance modules from Oracle will be examined, with some of the third party alternatives in sight as well. This broad-scoped book completes your journey with a clear examination of how to transition APIs from Oracle API Management 12c to the new Oracle API Platform, so that you can step into the future confidently. Style and approach This book provides comprehensive coverage of all aspects of Oracle API development using the new Oracle API Platform Cloud Service. All aspects of the new Oracle API Platform Cloud Service are considered and your practical, working Oracle situations are examined to give you have hands-on experience using the new API platform from Oracle.

Learn from an expert on how use self-adapting and self-healing systems within Docker. About This Book ? Viktor Farcic shows you all aspects in the creation of self-adapting and self-healing systems in both a practical and hands-on approach. ? Learn how to choose a successful solution for metrics storage and query, including InfluxDB, Nagios and Sensu, Prometheus and Graphite. ? Discover how to integrate Docker Flow Monitor with Docker Flow Proxy. ? How to apply Docker self-healing and self-adaptive to both services and infrastructure. Who This Book Is For This book is for professionals experienced with Docker looking to create both self-adapting and self-healing systems using the software. What You Will Learn ? Let Viktor Farcic show you all aspects in the creation of self-adapting and self-healing systems in both a practical and hands-on approach. ? Learn how to choose a successful solution for metrics storage and query, including InfluxDB, Nagios and Sensu, Prometheus and Graphite. ? Understand how to integrate Docker Flow Monitor with Docker Flow Proxy. ? The creation of cluster-wide alerts by creating alerts based on metrics. ? How to apply self-healing and self-adaptive to both services and infrastructure. In Detail Building on The DevOps 2.0 Toolkit and The DevOps 2.1 Toolkit: Docker Swarm, Viktor Farcic brings his latest exploration of the Docker technology as he records his journey to explore two new programs, self-adaptive and self-healing systems within Docker. The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters is the latest book in Viktor Farcic’s series that helps you build a full DevOps Toolkit. This book in the series looks at Docker, the tool designed to make it easier in the creation and running of applications using containers. In this latest entry, Viktor combines theory with a hands-on approach to guide you through the process of creating self-adaptive and self-healing systems. Within this book, Viktor will cover a wide-range of emerging topics, including what exactly self-adaptive and self-healing systems are, how to choose a solution for metrics storage and query, the creation of cluster-wide alerts and what a successful self-sufficient system blueprint looks like. Work with Viktor and dive into the creation of self-adaptive and self-healing systems within Docker. Style and approach Readers join Viktor Farcic as he continues his exploration of Docker and begins to explore new opportunities with the platform.

Create and manage spatial data with PostGIS About This Book ? Import and export geographic data from the PostGIS database using the available tools ? Maintain, optimize, and fine-tune spatial data for long-term viability ? Utilize the parallel support functionality that was introduced in PostgreSQL 9.6 Who This Book Is For This book is for developers who need some quick solutions for PostGIS. Prior knowledge of PostgreSQL and spatial concepts would be an added advantage. What You Will Learn ? Import and export geographic data from the PostGIS database using the available tools ? Structure spatial data using the functionality provided by a combination of PostgreSQL and PostGIS ? Work with a set of PostGIS functions to perform basic and advanced vector analyses ? Connect PostGIS with Python ? Learn to use programming frameworks around PostGIS ? Maintain, optimize, and fine-tune spatial data for long-term viability ? Explore the 3D capabilities of PostGIS, including LiDAR point clouds and point clouds derived from Structure from Motion (SfM) techniques ? Distribute 3D models through the Web using the X3D standard ? Use PostGIS to develop powerful GIS web applications using Open Geospatial Consortium web standards ? Master PostGIS Raster In Detail PostGIS is a spatial database that integrates the advanced storage and analysis of vector and raster data, and is remarkably flexible and powerful. PostGIS provides support for geographic objects to the PostgreSQL object-relational database and is currently the most popular open source spatial databases. If you want to explore the complete range of PostGIS techniques and expose related extensions, then this book is for you. This book is a comprehensive guide to PostGIS tools and concepts which are required to manage, manipulate, and analyze spatial data in PostGIS. It covers key spatial data manipulation tasks, explaining not only how each task is performed, but also why. It provides practical guidance allowing you to safely take advantage of the advanced technology in PostGIS in order to simplify your spatial database administration tasks. Furthermore, you will learn to take advantage of basic and advanced vector, raster, and routing approaches along with the concepts of data maintenance, optimization, and performance, and will help you to integrate these into a large ecosystem of desktop and web tools. By the end, you will be armed with all the tools and instructions you need to both manage the spatial database system and make better decisions as your project's requirements evolve. Style and approach This comprehensive guide uses a problem-solving approach to help you acquire a solid understanding of PostGIS.

Transform and modernize your businesses and upgrade your enterprise management skills with Odoo 11, the most comprehensive management software About This Book ? Use project management along with analytics for better reporting ? Build an Odoo module and integrate it with other platforms with this practical guide ? Explore new design and mobile updates from the Odoo enterprise Who This Book Is For This book is for beginners, and will help you learn advanced-level features with Odoo such as creating your own custom modules. You do not need any prior knowledge of Odoo. What You Will Learn ? Configure a functioning customer relationship management system ? Set up a purchasing and receiving system ? Implement manufacturing operations and processes using real-world examples ? Discover the capabilities of Odoo's financial accounting and reporting features ? Integrate powerful human resource applications ? Utilize Odoo's project management application to organize tasks ? Customize Odoo without writing a line of code In Detail Odoo is an all-in-one management software that offers an array of business applications, forming a complete suite of enterprise management applications. Odoo 11 comes with advances on usability, speed, and design. Working with Odoo 11 starts with how to set up Odoo, both online and on your own server. You’ll then configure the basic company settings required to quickly get your first Odoo system up and running. Later, you’ll explore customer relationship management in Odoo and its importance in a modern business environment. You'll then dive into purchasing applications with Odoo, learn some of the primary functionalities of ERP systems for manufacturing operations, and use analytic accounting to provide better reporting. After that, you'll learn how to work with Odoo for mobile, and finally, you will walk through the recent Odoo 11 features with respect to the community and enterprise edition, giving you a complete understanding of what Odoo can do for your business. Style and approach A guide to learning the advanced features of Odoo 11, to enable customization of Odoo modules to suite ones' business needs.

Design, create and manage robust Power BI solutions to gain meaningful business insights About This Book ? Master all the dashboarding and reporting features of Microsoft Power BI ? Combine data from multiple sources, create stunning visualizations and publish your reports across multiple platforms ? A comprehensive guide with real-world use cases and examples demonstrating how you can get the best out of Microsoft Power BI Who This Book Is For Business Intelligence professionals and existing Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book to be useful. While understanding of the basic BI concepts is required, some exposure to Microsoft Power BI will be helpful. What You Will Learn ? Build efficient data retrieval and transformation processes with the Power Query M Language ? Design scalable, user-friendly DirectQuery and Import Data Models ? Develop visually rich, immersive, and interactive reports and dashboards ? Maintain version control and stage deployments across development, test, and production environments ? Manage and monitor the Power BI Service and the On-premises data gateway ? Develop a fully on-premise solution with the Power BI Report Server ? Scale up a Power BI solution via Power BI Premium capacity and migration to Azure Analysis Services or SQL Server Analysis Services In Detail This book is intended for business intelligence professionals responsible for the design and development of Power BI content as well as managers, architects and administrators who oversee Power BI projects and deployments. The chapters flow from the planning of a Power BI project through the development and distribution of content to the administration of Power BI for an organization. BI developers will learn how to create sustainable and impactful Power BI datasets, reports, and dashboards. This includes connecting to data sources, shaping and enhancing source data, and developing an analytical data model. Additionally, top report and dashboard design practices are described using features such as Bookmarks and the Power KPI visual. BI managers will learn how Power BI’s tools work together such as with the On-premises data gateway and how content can be staged and securely distributed via Apps. Additionally, both the Power BI Report Server and Power BI Premium are reviewed. By the end of this book, you will be confident in creating effective charts, tables, reports or dashboards for any kind of data using the tools and techniques in Microsoft PowerBI. Style and approach This book consists of real-world examples on Power BI that target novices as well as intermediate Power BI users. It goes deep into the technical issues, covers additional protocols, and many more real-live examples.

Enhance your virtualization skills by mastering storage and network virtualization with automation across different Clouds About This Book ? Migrate and build your applications in Hybrid Cloud with VMware Cross Cloud components and services ? Gain in-depth configuration insights of VMware Cross Cloud architecture ? Learn to migrate applications from VMware to AWS and IBM Cloud Who This Book Is For This book is for administrators, Cloud architects and network engineers who want to globalize their infrastructure using VMware and AWS services. An initial setup of workloads and data center is beneficial. What You Will Learn ? Install and configure the Cloud foundation with Cross-Cloud services ? Configure vSphere high availability with the vCenter redundancy setup ? Architect and configure VMware with AWS Cloud ? Deploy VMware components in IBM Soft Layer ? Extend your DR setup with VMware to consume DRaaS ? Design and configure software-defined networking ? Implement compliance regulations to fix violations In Detail Over the past two decades, VMware vSphere has been known as the most trusted and reliable virtualization platform. VMware Cross-Cloud Architecture shows you how to design and configure Cross Cloud Architecture by using VMware Cloud Foundation and vRealize Suite with various use cases across private, public, and hybrid Cloud. This book takes you through everything from a basic understanding of virtualization to advanced aspects of storage and network virtualization, clustering, automation, and management. This book will be your guide to designing all aspects of Cloud. We start with the challenges faced by a traditional data center, define problem statements for you, and then brief you on respective solutions. Moving on, all kinds of virtualization and Cloud offerings from AWS and IBM Soft Layer are introduced and discussed in detail. Then, you'll learn how to design IT infrastructures for new and existing applications with a combination of Cloud Foundation, vRealize Suite, and vSphere enabled with VSAN and NSX. Furthermore, you'll learn how to design and configure high availability, disaster recovery, and apply an appropriate compliance matrix. Toward the end of the book, you will learn how to calculate the TCO/ROI, along with the VMware products packaging and licensing in detail. Style and approach This book follows a step-by-step, practical approach which will help you to have a better understanding of the cloud technology and the steps required to quickly reap its benefits while at the same time lowering your IT implementation risk and cost.

Network virtualization at your fingertips About This Book ? Over 70 practical recipes created by two VCIX-NV certified NSX experts ? Explore best practices to deploy, operate, and upgrade VMware NSX for vSphere ? Leverage NSX REST API using various tools from Python in VMware vRealize Orchestrator Who This Book Is For If you are a security and network administrator and looking to gain an intermediate level for network and security virtualization, then this book is for you. The reader should have a basic knowledge with VMware NSX. What You Will Learn ? Understand, install, and configure VMware NSX for vSphere solutions ? Configure logical switching, routing, and Edge Services Gateway in VMware NSX for vSphere ? Learn how to plan and upgrade VMware NSX for vSphere ? Learn how to use built-in monitoring tools such as Flow Monitoring, Traceflow, Application Rule Manager, and Endpoint Monitoring ? Learn how to leverage the NSX REST API for management and automation using various tools from Python to VMware vRealize Orchestrator In Detail This book begins with a brief introduction to VMware's NSX for vSphere Network Virtualization solutions and how to deploy and configure NSX components and features such as Logical Switching, Logical Routing, layer 2 bridging and the Edge Services Gateway. Moving on to security, the book shows you how to enable micro-segmentation through NSX Distributed Firewall and Identity Firewall and how to do service insertion via network and guest introspection. After covering all the feature configurations for single-site deployment, the focus then shifts to multi-site setups using Cross-vCenter NSX. Next, the book covers management, backing up and restoring, upgrading, and monitoring using built-in NSX features such as Flow Monitoring, Traceflow, Application Rule Manager, and Endpoint Monitoring. Towards the end, you will explore how to leverage VMware NSX REST API using various tools from Python to VMware vRealize Orchestrator. Style and approach The book follows a practical, recipe-based approach and teaches readers how to leverage VMware NSX and implement these recipes directly into their enterprise.

A comprehensive guide to making machine data accessible across the organization using advanced dashboards About This Book ? Enrich machine-generated data and transform it into useful, meaningful insights ? Perform search operations and configurations, build dashboards, and manage logs ? Extend Splunk services with scripts and advanced configurations to process optimal results Who This Book Is For This book is intended for data analysts, business analysts, and IT administrators who want to make the best use of big data, operational intelligence, log management, and monitoring within their organization. Some knowledge of Splunk services will help you get the most out of the book What You Will Learn ? Focus on the new features of the latest version of Splunk Enterprise 7 ? Master the new offerings in Splunk: Splunk Cloud and the Machine Learning Toolkit ? Create efficient and effective searches within the organization ? Master the use of Splunk tables, charts, and graph enhancements ? Use Splunk data models and pivots with faster data model acceleration ? Master all aspects of Splunk XML dashboards with hands-on applications ? Create and deploy advanced Splunk dashboards to share valuable business insights with peers In Detail Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects Style and approach An easy-to-follow, step-by-step guide to help you get to grips with real-world applications of Splunk 7.