Oracle SOA Governance 11g Implementation. Successfully implement SOA governance using Oracle SOA Governance Suite 11g with the help of practical examples and real-world use cases with this book and

Luis Augusto Weir, Luis Weir

Service-oriented Architecture (SOA) is an architectural style created to address the challenges posed by today’s highly distributed, fast-paced computing. This goal is achieved by constructing business-focused software systems from loosely coupled, interoperable building blocks called Services. Organizations often fail to successfully implement SOA due to a lack of effective governance. Oracle SOA Governance is a comprehensive, service-orientated architecture governance solution that is designed to make the transition to SOA easier.Oracle SOA Governance 11g Implementation illustrates how to successfully implement SOA governance in your organization. To achieve this, we describe how goals and objectives need to be clearly laid out and used to align governance processes with governance tools, governance tools with people, and people with the different roles and responsibilities that are required to implement effective governance.Oracle SOA Governance 11g Implementation begins with a short but concise overview of SOA governance. We then go to explore real world examples, based on previous experiences and working solutions, in order to learn the concepts of Oracle SOA Governance Suite.We will also learn how to implement an OER-centric SDLC process to address your organizations design-time governance requirements. Next, we will explore OSR, and discover how to use it to expose service implementations to consumers based on UDDI concepts. We will explore the features available within Web Service Manager (WSM), Oracle Enterprise Manager (OEM), and Business Transaction Manager (BTM). Finally, we discover how OER can be extended to govern Oracle Application Integration Architecture (AIA) implementations.Discover and learn how to use Oracle SOA Governance Suite to address your specific design-time and runtime governance challenges.

Cognitive Computing with IBM Watson. Build smart applications using artificial intelligence as a service

Rob High, Tanmay Bakshi

Cognitive computing is rapidly becoming a part of every aspect of our lives through data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system increases.This book introduces you to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI with the help of IBM Watson APIs. This book will help you build your own applications to understand, and solve problems, and analyze them as per your needs. You will explore various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems.Equipped with the knowledge of machine learning concepts, how computers do their magic, and the applications of these concepts, you’ll be able to research and apply cognitive computing in your projects.

Big Data Analytics. Real time analytics using Apache Spark and Hadoop

Venkat Ankam

Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data.

Lua Game Development Cookbook. Over 70 recipes that will help you master the elements and best practices required to build a modern game engine using Lua

Mario Kasuba

Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition

Rich Collier, Camilla Montonen, Bahaaldine Azarmi

Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated second edition of Machine Learning with the Elastic Stack provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for classification, regression, and outlier detection.The book starts by explaining machine learning concepts in an intuitive way. You'll then perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll discover how data frame analysis opens up a whole new set of use cases that machine learning can help you with.By the end of this Elastic Stack book, you'll have hands-on machine learning and Elastic Stack experience, along with the knowledge you need to incorporate machine learning in your distributed search and data analysis platform.

Visual Studio 2010 Best Practices. Learn and implement recommended practices for the complete software development lifecycle with Visual Studio 2010 with this book and

Peter Ritchie

When you are developing on the Microsoft platform, Visual Studio 2010 offers you a range of powerful tools and makes the whole process easier and faster. After learning it, if you are think that you can sit back and relax, you cannot be further away from truth. To beat the crowd, you need to be better than others, learn tips and tricks that other don't know yet. This book is a compilation of the best practices of programming with Visual Studio.Visual Studio 2010 best practices will take you through the practices that you need to master programming with .NET Framework. The book goes on to detail several practices involving many aspects of software development with Visual Studio. These practices include debugging and exception handling and design. It details building and maintaining a recommended practices library and the criteria by which to document recommended practicesThe book begins with practices on source code control (SCC). It includes different types of SCC and discusses how to choose them based on different scenarios. Advanced syntax in C# is then covered with practices covering generics, iterator methods, lambdas, and closures.The next set of practices focus on deployment as well as creating MSI deployments with Windows Installer XML (WiX)óincluding Windows applications and services. The book then takes you through practices for developing with WCF and Web Service.The software development lifecycle is completed with practices on testing like project structure, naming, and the different types of automated tests. Topics like test coverage, continuous testing and deployment, and mocking are included. Although this book uses Visual Studio as example, you can use these practices with any IDE.

Mastering Windows Presentation Foundation. Build responsive UIs for desktop applications with WPF - Second Edition

Sheridan Yuen

Microsoft Windows Presentation Foundation (WPF) provides a rich set of libraries and APIs for developers to create engaging user experiences. This book features a wide range of examples, from simple to complex, to demonstrate how to develop enterprise-grade applications with WPF.This updated second edition of Mastering Windows Presentation Foundation starts by introducing the benefits of using the Model-View-View Model (MVVM) software architectural pattern with WPF, then moves on, to explain how best to debug our WPF applications. It explores application architecture, and we learn how to build the foundation layer of our applications.It then demonstrates data binding in detail, and examines the various built-in WPF controls and a variety of ways in which we can customize them to suit our requirements. We then investigate how to create custom controls, for when the built-in functionality in WPF cannot be adapted for our needs.The latter half of the book deals with polishing our applications, using practical animations, stunning visuals and responsive data validation. It then moves on, to look at improving application performance, and ends with tutorials on several methods of deploying our applications.

Containers for Developers Handbook. A practical guide to developing and delivering applications using software containers

Francisco Javier Ramírez Urea

Developers are changing their deployment artifacts from application binaries to container images, giving rise to the need to build container-based apps as part of their new development workflow. Managing an app’s life cycle is complex and requires effort—this book will show you how to efficiently develop, share, and execute applications.You’ll learn how to automate the build and delivery process using CI/CD tools with containers as container orchestrators manage the complexity of running cluster-wide applications, creating infrastructure abstraction layers, while your applications run with high availability, resilience, and persistence. As you advance, you’ll develop, test, and debug applications on your desktop and get them ready to run in production with optimal security standards, using deployment patterns and monitoring tools to help identify common issues. You’ll also review deployment patterns that’ll enable you to solve common deployment problems, providing high availability, scalability, and security to your applications. Finally, you’ll explore different solutions to monitor, log, and instrument your applications as per open-source community standards.By the end of this book, you’ll be able to manage your app’s life cycle by implementing CI/CD workflows using containers to automate the building and delivery of its components.