Publisher: 16
Evangelos Misirlis
The Azure Data Scientist Associate DP-100 Certification Guide teaches you how to run machine learning experiments on Azure. It includes everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate.Starting with foundational concepts in data science, you'll learn how to configure and use the Azure Machine Learning (Azure ML) workspace via both studio and SDK interfaces. You'll progress through no-code and low-code experimentation using AutoML and the visual designer, and explore advanced Python SDK-based model training and deployment.This second edition also introduces you to the power of Generative AI with Prompt Flow, enabling you to build intelligent agents and operationalize them for production use. You’ll develop practical skills in hyperparameter tuning, model interpretation, and fairness analysis, and finally, deploy models as scalable endpoints with robust monitoring.Complete with hands-on exercises, mock exams, and expert tips, this guide offers everything you need for preparing to sit for the DP-100 exam and apply your learnings in real-world data science scenarios.
Phani Raj, Vinod Jaiswal
Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse.The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD).By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.
Stefano Demiliani, Nemanja Jovic, Amit Malik, Prasad...
In today's fiercely competitive digital landscape, cloud DevOps is indispensable for businesses of all sizes, enabling them to stay ahead by delivering high-quality software swiftly and efficiently. This book is the definitive guide to mastering Azure DevOps, covering everything from core principles to advanced strategies.This edition brings vital additions for both seasoned professionals and newcomers. Building PowerShell modules in Azure DevOps enhances automation, optimizing workflows. ALM for Power Platform ensures a structured lifecycle management process for Power Platform solutions. The chapter on infrastructure as code, with a custom Bicep versioning framework, addresses the need for agile and scalable infrastructure management. Learning to build and deploy containers with Azure Pipelines meets the growing demand for containerization in application deployment. The incorporation of DevSecOps with Azure and GitHub underscores the significance of security in the development process.It's your essential companion for mastering Azure DevOps, offering invaluable insights and guidance to keep you at the forefront of industry demands. It offers a comprehensive overview, enabling organizations to implement Azure DevOps, ultimately facilitating efficient delivery of high-quality software to the market.
Azure DevOps Explained. Get started with Azure DevOps and develop your DevOps practices
Sjoukje Zaal, Stefano Demiliani, Amit Malik
Developing applications for the cloud involves changing development methodologies and procedures. Continuous integration and continuous deployment (CI/CD) processes are a must today, but are often difficult to implement and adopt. Azure DevOps is a Microsoft Azure cloud service that enhances your application development life cycle and enables DevOps capabilities.Starting with a comprehensive product overview, this book helps you to understand Azure DevOps and apply DevOps techniques to your development projects. You'll find out how to adopt DevOps techniques for your development processes by using built-in Azure DevOps tools. Throughout the course of this book, you'll also discover how to manage a project with the help of project management techniques such as Agile and Scrum, and then progress toward development aspects such as source code management, build pipelines, code testing and artifacts, release pipelines, and GitHub integration. As you learn how to implement DevOps practices, this book will also provide you with real-world examples and scenarios of DevOps adoption.By the end of this DevOps book, you will have learned how to adopt and implement Azure DevOps features in your real-world development processes.
Tarun Arora, Utkarsh Shigihalli
Previously known as Team Foundation Server (TFS), Azure DevOps Server is a comprehensive on-premise DevOps toolset with a rich ecosystem of open source plugins. This book will help you learn how to effectively use the different Azure DevOps services.You will start by building high-quality scalable software targeting .NET, .NET Core and Node.js applications. Next, you will learn techniques that will help you to set up end-to-end traceability of your code changes, from design through to release. Whether you are deploying software on-premise or in the cloud in App Service, Functions, or Azure VMs, this book will help you learn release management techniques to reduce failures. As you progress, you will be able to secure application configuration by using Azure Key Vault. You will also understand how to create and release extensions to the Azure DevOps marketplace and reach the million-strong developer ecosystem for feedback. Later, the working extension samples will even allow you to iterate changes in your extensions easily and release updates to the marketplace quickly.By the end of this book, you will be equipped with the skills you need to break down the invisible silos between your software development teams, and transform them into a modern cross-functional software development team.
Kamil Mrzygłód, Michal "Furman" Furmankiewicz
Supercharge your development career by mastering Azure’s evolving GenAI, container, and serverless capabilities to build scalable, secure applications with confidence. This third edition of Azure for Developers transforms complex cloud concepts into practical skills, guiding you through the design, deployment, and management of cloud-native solutions while eliminating infrastructure headaches. Fully updated with Azure’s latest features, this hands-on guide helps you automate DevOps pipelines with GitHub Actions, deploy microservices using containers, and integrate generative AI via Azure OpenAI to modernize your development workflows. You will learn how to set up your environment, streamline app deployment, and implement robust service integrations using real-world best practices. The final section is a game-changer for developers who want to stay ahead of the curve. It shows you how to leverage Azure’s AI and machine learning services to automate tasks, fine-tune models, and build intelligent assistants and next-generation workflows. By the end, you will have the confidence and capabilities to deliver production-grade cloud solutions that meet real-world demands and position yourself at the forefront of modern cloud development.
Ritesh Modi, Jack Lee, Rithin Skaria
Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions.You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities.By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.
Ritesh Modi
Over the years, Azure cloud services have grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements.Azure for Architects – Second Edition starts with an extensive introduction to major designing and architectural aspects available with Azure. These design patterns focus on different aspects of the cloud, such as high availability, security, and scalability. Gradually, we move on to other aspects, such as ARM template modular design and deployments.This is the age of microservices and serverless is the preferred implementation mechanism for them. This book covers the entire serverless stack available in Azure including Azure Event Grid, Azure Functions, and Azure Logic Apps. New and advance features like durable functions are discussed at length. A complete integration solution using these serverless technologies is also part of the book. A complete chapter discusses all possible options related to containers in Azure including Azure Kubernetes services, Azure Container Instances and Registry, and Web App for Containers.Data management and integration is an integral part of this book that discusses options for implementing OLTP solutions using Azure SQL, Big Data solutions using Azure Data factory and Data Lake Storage, eventing solutions using stream analytics, and Event Hubs. This book will provide insights into Azure governance features such as tagging, RBAC, cost management, and policies.By the end of this book, you will be able to develop a full-?edged Azure cloud solution that is Enterprise class and future-ready.