Building Clouds with Windows Azure Pack. Click here to enter text

Amit Malik

Windows Azure Pack is an on-premises cloud solution by Microsoft, which can be leveraged by Organizations and Services providers for building an enterprise class cloud solution. WAP provides consistent experience to Microsoft Azure, along with capabilities such as multi-tenancy, high density, self-service, automated. WAP can be leveraged to provide both IaaS & PaaS Offerings to internal and external customers. In this book, we will learn about planning and deployment of Cloud Fabric for Windows Azure Pack, Azure Pack components, VM Clouds and IaaS offerings, PaaS Offering including WebSites & Service Bus, DBaaS offerings, Automation with SMA, and extending capabilities with third party products integration and tenant experience for all services.

Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines

Michele Pinto, Sammy El Khammal

In the age of information, strategic management of data is critical to organizational success. The constant challenge lies in maintaining data accuracy and preventing data pipelines from breaking. Data Observability for Data Engineering is your definitive guide to implementing data observability successfully in your organization.This book unveils the power of data observability, a fusion of techniques and methods that allow you to monitor and validate the health of your data. You’ll see how it builds on data quality monitoring and understand its significance from the data engineering perspective. Once you're familiar with the techniques and elements of data observability, you'll get hands-on with a practical Python project to reinforce what you've learned. Toward the end of the book, you’ll apply your expertise to explore diverse use cases and experiment with projects to seamlessly implement data observability in your organization.Equipped with the mastery of data observability intricacies, you’ll be able to make your organization future-ready and resilient and never worry about the quality of your data pipelines again.

Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop

Alex Kozlov

Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using Scala.

Mastering Minimal APIs in ASP.NET Core. Build, test, and prototype web APIs quickly using .NET and C#

Andrea Tosato, Marco Minerva, Emanuele Bartolesi

The Minimal APIs feature, introduced in .NET 6, is the answer to code complexity and rising dependencies in creating even the simplest of APIs. Minimal APIs facilitate API development using compact code syntax and help you develop web APIs quickly.This practical guide explores Minimal APIs end-to-end and helps you take advantage of its features and benefits for your ASP.NET Core projects. The chapters in this book will help you speed up your development process by writing less code and maintaining fewer files using Minimal APIs. You’ll also learn how to enable Swagger for API documentation along with CORS and handle application errors. The book even promotes ideas to structure your code in a better way using the dependency injection library in .NET. Finally, you'll learn about performance and benchmarking improvements for your apps.By the end of this book, you’ll be able to fully leverage new features in .NET 6 for API development and explore how Minimal APIs are an evolution over classical web API development in ASP.NET Core.

Refactoring TypeScript. Keeping your code healthy

James Hickey

Refactoring improves your code without changing its behavior. With refactoring, the best approach is to apply small targeted changes to a codebase. Instead of doing a huge sweeping change to your code, refactoring is better as a long-term and continuous enterprise. Refactoring TypeScript explains how to spot bugs and remove them from your code.You’ll start by seeing how wordy conditionals, methods, and null checks make code unhealthy and unstable. Whether it is identifying messy nested conditionals or removing unnecessary methods, this book will show various techniques to avoid these pitfalls and write code that is easier to understand, maintain, and test.By the end of the book, you’ll have learned some of the main causes of unhealthy code, tips to identify them and techniques to address them.

Enterprise Application Development with Ext JS and Spring. Designed for intermediate developers, this superb tutorial will lead you step by step through the process of developing enterprise web applications combining two leading-edge frameworks. Take a big leap forward in easy stages

Gerald Gierer

Spring and Ext JS are cutting edge frameworks that allow us to build high performance web applications for modern devices, that are now consuming data at a faster rate than ever before. It is the appropriate time for you to understand how to best leverage these technologies when architecting, designing, and developing large scale web development projects.This practical guide condenses an approach to web development that was gained from real world projects, and outlines a simple, practical approach to developing high performance, and enterprise grade web applications.Starting with configuring Java, NetBeans, and MySQL to prepare your development environment, you will then learn how to connect your NetBeans IDE to the MySQL database server. We will then explore the Task Time Tracker (3T) project database structure and populate these tables with test data.Following on from this, we will examine core JPA concepts after reverse engineering the domain layer with NetBeans. Leveraging the Data Access Object design pattern, you will learn how to build the Java DAO implementation layer assisted by generics in base classes, followed by a Data Transfer Object enabled service layer to encapsulate the business logic of your 3T application.The final chapters that focus on Java explore how to implement the request handling layer using Spring annotated controllers, and deploy the 3T application to the GlassFish server. We will then configure the Ext JS 4 development environment and introduce key Ext JS 4 concepts, including MVC and practical design conventions.Covering a variety of important Ext JS 4 strategies and concepts, you will be fully-equipped to implement a variety of different user interfaces using the Ext JS MVC design pattern. Your journey ends by exploring the production build and deployment process using Maven, Sencha Cmd and GlassFish.

Gradle for Android. Automate the build process for your Android projects with Gradle

Kevin Pelgrims

Cloud Forensics Demystified. Decoding cloud investigation complexities for digital forensic professionals

Ganesh Ramakrishnan, Mansoor Haqanee

As organizations embrace cloud-centric environments, it becomes imperative for security professionals to master the skills of effective cloud investigation. Cloud Forensics Demystified addresses this pressing need, explaining how to use cloud-native tools and logs together with traditional digital forensic techniques for a thorough cloud investigation. The book begins by giving you an overview of cloud services, followed by a detailed exploration of the tools and techniques used to investigate popular cloud platforms such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP). Progressing through the chapters, you’ll learn how to investigate Microsoft 365, Google Workspace, and containerized environments such as Kubernetes. Throughout, the chapters emphasize the significance of the cloud, explaining which tools and logs need to be enabled for investigative purposes and demonstrating how to integrate them with traditional digital forensic tools and techniques to respond to cloud security incidents. By the end of this book, you’ll be well-equipped to handle security breaches in cloud-based environments and have a comprehensive understanding of the essential cloud-based logs vital to your investigations. This knowledge will enable you to swiftly acquire and scrutinize artifacts of interest in cloud security incidents.