Publisher: Packt Publishing
Aniruddha Deswandikar
Decentralizing data and centralizing governance are practical, scalable, and modern approaches to data analytics. However, implementing a data mesh can feel like changing the engine of a moving car. Most organizations struggle to start and get caught up in the concept of data domains, spending months trying to organize domains. This is where Engineering Data Mesh in Azure Cloud can help.The book starts by assessing your existing framework before helping you architect a practical design. As you progress, you’ll focus on the Microsoft Cloud Adoption Framework for Azure and the cloud-scale analytics framework, which will help you quickly set up a landing zone for your data mesh in the cloud.The book also resolves common challenges related to the adoption and implementation of a data mesh faced by real customers. It touches on the concepts of data contracts and helps you build practical data contracts that work for your organization. The last part of the book covers some common architecture patterns used for modern analytics frameworks such as artificial intelligence (AI).By the end of this book, you’ll be able to transform existing analytics frameworks into a streamlined data mesh using Microsoft Azure, thereby navigating challenges and implementing advanced architecture patterns for modern analytics workloads.
Dipankar Mazumdar, Vinoth Govindarajan, Chao Sun
Engineering Lakehouses with Open Table Formats provides detailed insights into lakehouse concepts, and dives deep into the practical implementation of open table formats such as Apache Iceberg, Apache Hudi, and Delta Lake.You’ll explore the internals of a table format and learn in detail about the transactional capabilities of lakehouses. You’ll also get hands on with each table format with exercises using popular computing engines, such as Apache Spark, Flink, Trino, and Python-based tools. The book addresses advanced topics, including performance optimization techniques and interoperability among different formats, equipping you to build production-ready lakehouses. With step-by-step explanations, you’ll get to grips with the key components of lakehouse architecture and learn how to build, maintain, and optimize them.By the end of this book, you’ll be proficient in evaluating and implementing open table formats, optimizing lakehouse performance, and applying these concepts to real-world scenarios, ensuring you make informed decisions in selecting the right architecture for your organization’s data needs.
Morgan Evans
Delightful and customer-centric digital products have become an expectation in the world of business. Engineering managers are uniquely positioned to impact the success of these products and the software systems that power them. Skillful managers guide their teams and companies to develop functional and maintainable systems.This book helps you find your footing as an engineering manager, develop your leadership style, balance your time between engineering and managing, build successful engineering teams in different settings, and work within constraints without sacrificing technical standards or team empathy. You’ll learn practical techniques for establishing trust, developing beneficial habits, and creating a cohesive and high-performing engineering team. You’ll discover effective strategies to guide and contribute to your team’s efforts, facilitating productivity and collaboration.By the end of this book, you’ll have the tools and knowledge necessary to thrive as an engineering manager. Whether you’re just starting out in your role or seeking to enhance your leadership capabilities, this handbook will empower you to make a lasting impact and drive success in your organization.
Emmanuel Raj
Engineering MLps presents comprehensive insights into MLOps coupled with real-world examples in Azure to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production.The book begins by familiarizing you with the MLOps workflow so you can start writing programs to train ML models. Then you’ll then move on to explore options for serializing and packaging ML models post-training to deploy them to facilitate machine learning inference, model interoperability, and end-to-end model traceability. You’ll learn how to build ML pipelines, continuous integration and continuous delivery (CI/CD) pipelines, and monitor pipelines to systematically build, deploy, monitor, and govern ML solutions for businesses and industries. Finally, you’ll apply the knowledge you’ve gained to build real-world projects.By the end of this ML book, you'll have a 360-degree view of MLOps and be ready to implement MLOps in your organization.
Enhanced Test Automation with WebdriverIO. Unlock the superpowers of hybrid testing frameworks
Paul M. Grossman, Larry C. Goddard, Angie...
This book helps you embark on a comprehensive journey to master the art of WebdriverIO automation, from installation through to advanced framework development.You’ll start by following step-by-step instructions on installing WebdriverIO, configuring Node packages, and creating a simple test. Here you’ll gain an understanding of the mechanics while also learning to add reporting and screen captures to your test results to enhance your test case documentation. In the next set of chapters, you’ll delve into the intricacies of configuring and developing robust method wrappers, a crucial skill for supporting multiple test suites. The book goes beyond the basics, exploring testing techniques tailored for Jenkins as well as LambdaTest cloud environments. As you progress, you’ll gain a deep understanding of both TypeScript and JavaScript languages and acquire versatile coding skills.By the end of this book, you’ll have developed the expertise to construct a sophisticated test automation framework capable of executing an entire suite of tests using WebdriverIO in either TypeScript or JavaScript, as well as excel in your test automation endeavors and deliver reliable, efficient testing solutions.
Matt Benatan, Jochem Gietema, Marian Schneider
Deep learning has an increasingly significant impact on our lives, from suggesting content to playing a key role in mission- and safety-critical applications. As the influence of these algorithms grows, so does the concern for the safety and robustness of the systems which rely on them. Simply put, typical deep learning methods do not know when they don’t know.The field of Bayesian Deep Learning contains a range of methods for approximate Bayesian inference with deep networks. These methods help to improve the robustness of deep learning systems as they tell us how confident they are in their predictions, allowing us to take more in how we incorporate model predictions within our applications.Through this book, you will be introduced to the rapidly growing field of uncertainty-aware deep learning, developing an understanding of the importance of uncertainty estimation in robust machine learning systems. You will learn about a variety of popular Bayesian Deep Learning methods, and how to implement these through practical Python examples covering a range of application scenarios.By the end of the book, you will have a good understanding of Bayesian Deep Learning and its advantages, and you will be able to develop Bayesian Deep Learning models for safer, more robust deep learning systems.
Lim Mei Ying, Spencer Harbar, Stefan Gossner
The release of Microsoft Content Management Server (MCMS) Service Pack 2 opens up the world of ASP.NET 2.0 to MCMS developers. Written by the masters of MCMS, this book shows you how to use the new features of ASP.NET 2.0 that everyone is talking about in your MCMS development.You will first learn how to install and configure MCMS SP2. There are two approaches to setting up a development environment for SP2: an upgrade from a previous SP1a installation or starting from scratch and building a fresh installation including SP2. Of course, both approaches are covered.You will become familiar with the MCMS Service Pack 2 development environment, and create custom Visual Studio 2005 templates to overcome some of the issues which are present with the templates shipped with MCMS SP2.After that, its time to look at some of the most exciting features of ASP.NET 2.0, and how you can make use of them in MCMS: master pages, site navigation, themes, and the membership provider model.One of the coolest features introduced with ASP.NET 2.0 is master pages, which allow developers to enforce common layout and behaviour across pages within an application. You will learn about the benefits of using master pages and see a step-by-step guide for implementing them in your MCMS applications, where they become master templates!ASP.NET 2.0 introduces a whole new way of implementing site navigation, driven by site maps. By programmatically adding channels and postings to a site map you will see how to smoothly integrate these controls to any MCMS site.To customize the look of your site, we will see how a common look and feel can be applied efficiently to a MCMS site by using ASP.NET 2.0 themes. An essential customization required for themes to work correctly in an MCMS site is a must-read feature of this chapter.MCMS has its own role based authorization and user management system which cannot be extended. However, the new ASP.NET 2.0 Membership Provider Model and the shipped controls can be used within MCMS applications to improve the implementation of Forms Authentication and provide a more elegant solution for authenticating against an external store.A collection of tips and tricks round off the book, including using the Provider Model design pattern to ease migration to Office SharePoint Portal Server
Danny Hatcher
Notion is note-taking, wiki management, and task and project management software that gives you control of your working environment. By creating pages using a variety of block types and database styles, the possibilities are endless. This book will help you overcome challenges in managing large projects using Notion and creating documents using real-time updates with a great deal of flexibility, allowing everyone to have a customized view as per their needs.With this book, you'll become well-versed with Notion, where you’ll learn how to access, create, and change a workspace utilizing all the blocks, database views and properties, and advanced features and functions. From a table or list view to a Kanban board or gallery view, you'll get to explore several database options available in Notion. You’ll learn the skills to build pages, customize the aesthetics, create templates, and store, organize, and surface information through databases, all while building a system and workflow that works for you in your context. The book will also demonstrate how to import and export information and combine Notion with other tools using the API.By the end of this book, you’ll be able to create a task management system, project management system, or any other system while combining it with other tools that speed up your work for better efficiency.
Steven Antonio Christian, Patrick B. Thomas
Virtual reality (VR) has emerged as one of the most transformative mediums of the 21st century, finding applications in various industries, including gaming, entertainment, and education.Enhancing Virtual Reality Experiences with Unity 2022 takes you into the fascinating realm of VR, where creativity meets cutting-edge technology to bring tangible real-world applications to life. This immersive exploration not only equips you with the essential skills needed to craft captivating VR environments using Unity's powerful game engine but also offers a deeper understanding of the philosophy behind creating truly immersive experiences.Throughout the book, you’ll work with practical VR scene creation, interactive design, spatial audio, and C# programming and prepare to apply these skills to real-world projects spanning art galleries, interactive playgrounds, and beyond. To ensure your VR creations reach their full potential, the book also includes valuable tips on optimization, guaranteeing maximum immersion and impact for your VR adventures.By the end of this book, you’ll have a solid understanding of VR’s versatility and how you can leverage the Unity game engine to create groundbreaking projects.
Yuri Diogenes
Cloud security is a pivotal aspect of modern IT infrastructure, essential for safeguarding critical data and services. This comprehensive book explores Cloud Native Application Protection Platform (CNAPP), guiding you through adopting, deploying, and managing these solutions effectively. Written by Yuri Diogenes, Principal PM at Microsoft, who has been with Defender for Cloud (formerly Azure Security Center) since its inception, this book distills complex concepts into actionable knowledge making it an indispensable resource for Cloud Security professionals.The book begins with a solid foundation detailing the why and how of CNAPP, preparing you for deeper engagement with the subject. As you progress, it delves into practical applications, including using Microsoft Defender for Cloud to enhance your organization's security posture, handle multicloud environments, and integrate governance and continuous improvement practices into your operations.Further, you'll learn how to operationalize your CNAPP framework, emphasizing risk management & attack disruption, leveraging AI to enhance security measures, and integrating Defender for Cloud with Microsoft Security Exposure Management. By the end, you'll be ready to implement and optimize a CNAPP solution in your workplace, ensuring a robust defense against evolving threats.
Dipayan Sarkar, Vijayalakshmi Natarajan
Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking.The Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You'll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. It will also ensure that you don't miss out on key topics, such as like resampling methods. As you progress, you’ll get a better understanding of bagging, boosting, stacking, and working with the Random Forest algorithm using real-world examples. The book will highlight how these ensemble methods use multiple models to improve machine learning results, as compared to a single model. In the concluding chapters, you'll delve into advanced ensemble models using neural networks, natural language processing, and more. You’ll also be able to implement models such as fraud detection, text categorization, and sentiment analysis.By the end of this book, you'll be able to harness ensemble techniques and the working mechanisms of machine learning algorithms to build intelligent models using individual recipes.
Enterprise Agility. Being Agile in a Changing World
Sunil Mundra
The biggest challenge enterprises face today is dealing with fast-paced change in all spheres of business. Enterprise Agility shows how an enterprise can address this challenge head on and thrive in the dynamic environment. Avoiding the mechanistic construction of existing enterprises that focus on predictability and certainty, Enterprise Agility delivers practical advice for responding and adapting to the scale and accelerating pace of disruptive change in the business environment.Agility is a fundamental shift in thinking about how enterprises work to effectively deal with disruptive changes in the business environment. The core belief underlying agility is that enterprises are open and living systems. These living systems, also known as complex adaptive systems (CAS), are ideally suited to deal with change very effectively.Agility is to enterprises what health is to humans. There are some foundational principles that can be broadly applied, but the definition of healthy is very specific to each individual. Enterprise Agility takes a similar approach with regard to agility: it suggests foundational practices to improve the overall health of the body—culture, mindset, and leadership—and the health of its various organs: people, process, governance, structure, technology, and customers. The book also suggests a practical framework to create a plan to enhance agility.
Enterprise API Management. Design and deliver valuable business APIs
Luis Weir, Rolando Carrasco, Philip Wilkins
APIs are the cornerstone of modern, agile enterprise systems. They enable access to enterprise services from a wide variety of devices, act as a platform for innovation, and open completely new revenue streams.Enterprise API Management shows how to define the right architecture, implement the right patterns, and define the right organization model for business-driven APIs.Drawing on his experience of developing API and microservice strategies for some of the world's largest companies, Luis Weir explains how APIs deliver value across an enterprise. The book explores the architectural decisions, implementation patterns, and management practices for successful enterprise APIs, as well as providing clear, actionable advice on choosing and executing the right API strategy in your enterprise.With a relentless focus on creating business value, Luis Weir reveals an effective method for planning, building, and running business products and services with APIs.
Ganesan Senthilvel, Ovais Mehboob Ahmed Khan, Habib...
If you want to design and develop enterprise applications using .NET Core as the development framework and learn about industry-wide best practices and guidelines, then this book is for you. The book starts with a brief introduction to enterprise architecture, which will help you to understand what enterprise architecture is and what the key components are. It will then teach you about the types of patterns and the principles of software development, and explain the various aspects of distributed computing to keep your applications effective and scalable. These chapters act as a catalyst to start the practical implementation, and design and develop applications using different architectural approaches, such as layered architecture, service oriented architecture, microservices and cloud-specific solutions. Gradually, you will learn about the different approaches and models of the Security framework and explore various authentication models and authorization techniques, such as social media-based authentication and safe storage using app secrets. By the end of the book, you will get to know the concepts and usage of the emerging fields, such as DevOps, BigData, architectural practices, and Artificial Intelligence.
Ravindra Akella, Arun Kumar Tamirisa , Suneel...
Building production-ready enterprise applications can be a challenging task due to the overabundance of tools and their different versions that make app development complex. This book simplifies the process with an end-to-end road map for building enterprise applications from scratch using the latest features of .NET Core 6 and C# 10.Throughout the book, you'll work on creating an enterprise app, adding a key component to the app with each chapter, before ?nally getting it ready for testing and deployment. You'll learn concepts relating to advanced data structures, the Entity Framework Core, parallel programming, and dependency injection. As you progress, you'll cover various authentication and authorization schemes provided by .NET Core to make your apps and APIs secure. The book then shows you how the latest Microsoft Visual Studio and C# 10 help you simplify developer tasks and shares tips and tricks in Visual Studio to improve your productivity. You'll discover various testing techniques, such as unit testing and performance testing, as well as di?erent methods to deploy enterprise apps.By the end of this book, you’ll be able to create enterprise apps using the powerful features of .NET 6 and deploy them to the cloud while working with various cloud components using Azure.
Ravindra Akella, Rishabh Verma, Arun Kumar Tamirisa...
.NET Core is one of the most popular programming platforms in the world for an increasingly large community of developers thanks to its excellent cross-platform support. This book will show you how to confidently use the features of .NET 5 with C# 9 to build robust enterprise applications.Throughout the book, you'll work on creating an enterprise app and adding a key component to the app with each chapter, before ?nally getting it ready for testing and deployment. You'll learn concepts relating to advanced data structures, the Entity Framework Core, parallel programming, and dependency injection. As you progress, you'll cover various authentication and authorization schemes provided by .NET Core to make your apps and APIs secure. Next, you'll build web apps using ASP.NET Core 5 and deploy them on the cloud while working with various cloud components using Azure. The book then shows you how to use the latest Microsoft Visual Studio 2019 and C# 9 to simplify developer tasks, and also explores tips and tricks in Visual Studio 2019 to improve your productivity. Later, you'll discover various testing techniques such as unit testing and performance testing as well as di?erent methods to deploy enterprise apps.By the end of this book, you’ll be able to create enterprise apps using the powerful features of .NET 5 and deploy them on the cloud.