Wydawca: 16
Andreas Botsikas , Michael Hlobil
The Azure Data Scientist Associate Certification Guide helps you acquire practical knowledge for machine learning experimentation on Azure. It covers everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate.Starting with an introduction to data science, you'll learn the terminology that will be used throughout the book and then move on to the Azure Machine Learning (Azure ML) workspace. You'll discover the studio interface and manage various components, such as data stores and compute clusters.Next, the book focuses on no-code and low-code experimentation, and shows you how to use the Automated ML wizard to locate and deploy optimal models for your dataset. You'll also learn how to run end-to-end data science experiments using the designer provided in Azure ML Studio.You'll then explore the Azure ML Software Development Kit (SDK) for Python and advance to creating experiments and publishing models using code. The book also guides you in optimizing your model's hyperparameters using Hyperdrive before demonstrating how to use responsible AI tools to interpret and debug your models. Once you have a trained model, you'll learn to operationalize it for batch or real-time inferences and monitor it in production.By the end of this Azure certification study guide, you'll have gained the knowledge and the practical skills required to pass the DP-100 exam.
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.