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Author:
Publisher: BPB Publications
ISBN: 9355518129
Category : Computers
Languages : en
Pages : 307
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Book Description
A practical guide that will help you transform your data into actionable insights with Azure Synapse Analytics KEY FEATURES ● Explore the different features in the Azure Synapse Analytics workspace. ● Learn how to integrate Power BI and Data Governance capabilities with Azure Synapse Analytics. ● Accelerate your analytics journey with the no-code/low-code capabilities of Azure Synapse. DESCRIPTION Cloud analytics is a crucial aspect of any digital transformation initiative, and the capabilities of the Azure Synapse analytics platform can simplify and streamline this process. By mastering Azure Synapse Analytics, analytics developers across organizations can boost their productivity by utilizing low-code, no-code, and traditional code-based analytics frameworks. This book starts with a comprehensive introduction to Azure Synapse Analytics and its limitless cloud-scale analytics capabilities. You will then learn how to explore and work with data warehousing features in Azure Synapse. Moving on, the book will guide you on how to effectively use Synapse Spark for data engineering and data science. It will help you learn how to gain insights from your data through Observational analytics using Synapse Data Explorer. You will also discover the seamless data integration capabilities of Synapse Pipeline, and delve into the benefits of Synapse Analytics' low-code and no-code pipeline development features. Lastly the book will show you how to create network topology and implement industry-specific architecture patterns in Azure Synapse Analytics. By the end of the book, you will be able to process and analyze vast amounts of data in real-time to gain insights quickly and make informed decisions. WHAT YOU WILL LEARN ● Leverage Synapse Spark for machine learning tasks. ● Use Synapse Data Explorer for telemetry analysis. ● Take advantage of Synapse's common data model-based database templates. ● Query data using T-SQL, KQL, and Spark SQL within Synapse. ● Integrate Microsoft Purview with Synapse for enhanced data governance. WHO THIS BOOK IS FOR This book is designed for Cloud data engineers with prior experience in Azure cloud computing, as well as Chief Data Officers (CDOs) and Data professionals, who want to use this unified platform for data ingestion, data warehousing, and big data analytics. TABLE OF CONTENTS 1. Cloud Analytics Concept 2. Introduction to Azure Synapse Analytics 3. Modern Data Warehouse with the Synapse SQL Pool 4. Query as a Service- Synapse Serverless SQL 5. Synapse Spark Pool Capability 6. Synapse Spark and Data Science 7. Learning Synapse Data Explorer 8. Synapse Data Integration 9. Synapse Link for HTAP 10. Azure Synapse -Unified Analytics Service 11. Synapse Workspace Ecosystem Integration 12. Azure Synapse Network Topology 13. Industry Cloud Analytics
Author:
Publisher: BPB Publications
ISBN: 9355518129
Category : Computers
Languages : en
Pages : 307
Get Book Here
Book Description
A practical guide that will help you transform your data into actionable insights with Azure Synapse Analytics KEY FEATURES ● Explore the different features in the Azure Synapse Analytics workspace. ● Learn how to integrate Power BI and Data Governance capabilities with Azure Synapse Analytics. ● Accelerate your analytics journey with the no-code/low-code capabilities of Azure Synapse. DESCRIPTION Cloud analytics is a crucial aspect of any digital transformation initiative, and the capabilities of the Azure Synapse analytics platform can simplify and streamline this process. By mastering Azure Synapse Analytics, analytics developers across organizations can boost their productivity by utilizing low-code, no-code, and traditional code-based analytics frameworks. This book starts with a comprehensive introduction to Azure Synapse Analytics and its limitless cloud-scale analytics capabilities. You will then learn how to explore and work with data warehousing features in Azure Synapse. Moving on, the book will guide you on how to effectively use Synapse Spark for data engineering and data science. It will help you learn how to gain insights from your data through Observational analytics using Synapse Data Explorer. You will also discover the seamless data integration capabilities of Synapse Pipeline, and delve into the benefits of Synapse Analytics' low-code and no-code pipeline development features. Lastly the book will show you how to create network topology and implement industry-specific architecture patterns in Azure Synapse Analytics. By the end of the book, you will be able to process and analyze vast amounts of data in real-time to gain insights quickly and make informed decisions. WHAT YOU WILL LEARN ● Leverage Synapse Spark for machine learning tasks. ● Use Synapse Data Explorer for telemetry analysis. ● Take advantage of Synapse's common data model-based database templates. ● Query data using T-SQL, KQL, and Spark SQL within Synapse. ● Integrate Microsoft Purview with Synapse for enhanced data governance. WHO THIS BOOK IS FOR This book is designed for Cloud data engineers with prior experience in Azure cloud computing, as well as Chief Data Officers (CDOs) and Data professionals, who want to use this unified platform for data ingestion, data warehousing, and big data analytics. TABLE OF CONTENTS 1. Cloud Analytics Concept 2. Introduction to Azure Synapse Analytics 3. Modern Data Warehouse with the Synapse SQL Pool 4. Query as a Service- Synapse Serverless SQL 5. Synapse Spark Pool Capability 6. Synapse Spark and Data Science 7. Learning Synapse Data Explorer 8. Synapse Data Integration 9. Synapse Link for HTAP 10. Azure Synapse -Unified Analytics Service 11. Synapse Workspace Ecosystem Integration 12. Azure Synapse Network Topology 13. Industry Cloud Analytics
Author: Sultan Yerbulatov
Publisher: Litres
ISBN: 5046527766
Category : Computers
Languages : en
Pages : 233
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Book Description
Drawing from my extensive hands-on experience as a data engineer, this book presents a deep exploration of Azure Synapse Analytics through detailed explanations, practical examples, and expert insights. Readers will learn to navigate the complexities of modern data analytics, from data ingestion and transformation to dynamic data masking and compliance reporting.
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 218
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Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Author: KRISHNA KISHOR TIRUPATI SATISH VADLAMANI SHALU JAIN A RENUKA
Publisher: DeepMisti Publication
ISBN: 9360447439
Category : Computers
Languages : en
Pages : 213
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Book Description
In Today's Data-Driven World, The Ability To Harness The Power Of Predictive Analytics And Machine Learning Has Become A Pivotal Force In Shaping Innovation Across Industries. This Book, Mastering Azure For Predictive Analytics And Machine Learning, Aims To Bridge The Gap Between Cloud Technology And The Analytical Tools Needed To Drive Insights From Complex Data. Our Objective Is To Provide Readers With The Foundational Knowledge And Advanced Techniques Necessary To Leverage Microsoft Azure For Predictive Modeling And Machine Learning Applications. The Structure Of This Book Offers A Comprehensive Exploration Of The Tools, Methodologies, And Best Practices That Define Modern Analytics And Machine Learning In The Cloud. From Setting Up Your Azure Environment To Deploying Machine Learning Models, We Cover Each Stage With Practical Examples And Detailed Guidance. The Content Is Designed For A Broad Audience, Including Students, Data Scientists, It Professionals, And Business Leaders Who Seek To Use Azure’s Capabilities To Make Data-Informed Decisions. Drawing From The Latest Industry Research And Real-World Use Cases, This Book Not Only Provides Theoretical Knowledge But Also Equips Readers With Hands-On Skills They Can Apply In Real-Time Data Projects. Each Chapter Balances Depth With Accessibility, Covering Topics Like Data Preparation, Model Building, And Cloud-Based Deployment, While Also Touching On Critical Issues Such As Scalability, Security, And Automation. Additionally, We Highlight Best Practices For Managing Azure’s Infrastructure And Optimizing Machine Learning Workflows Within The Platform. The Inspiration For This Book Comes From The Recognition Of The Growing Role That Cloud Platforms Like Azure Play In Transforming How Organizations Use Data To Innovate And Compete. We Are Immensely Thankful To Chancellor Shri Shiv Kumar Gupta Of Maharaja Agrasen Himalayan Garhwal University For His Support And Commitment To Academic And Technological Excellence, Which Has Been Instrumental In Making This Book A Reality. We Hope That Mastering Azure For Predictive Analytics And Machine Learning Will Be A Valuable Resource For Anyone Looking To Deepen Their Understanding Of How Cloud Computing And Machine Learning Can Converge To Unlock The Full Potential Of Predictive Analytics. The Knowledge Contained In These Pages Is Intended To Empower Readers To Lead Transformative Data Projects With Confidence. Thank You For Embarking On This Journey With Us. Authors
Author: Edwin Cano
Publisher: Edwin Cano
ISBN:
Category : Computers
Languages : en
Pages : 333
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Book Description
Cloud computing has reshaped the way businesses operate, innovate, and compete in the modern world. Among the many cloud platforms available, Microsoft Azure stands out as a powerful and flexible solution for enterprises, developers, and IT professionals alike. As organizations continue to migrate their operations to the cloud, Azure has become a central hub for building, deploying, and managing applications, infrastructure, and data services with unmatched scalability, security, and efficiency. This book, Mastering Microsoft Azure: A Comprehensive Guide to Business Cloud Computing, is designed to be your roadmap for navigating the complexities of Azure. Whether you're a business leader looking to harness the cloud for operational success, a developer exploring Azure's vast tools for application deployment, or an IT professional aiming to enhance your cloud expertise, this guide will provide the knowledge and practical skills necessary to excel in today’s cloud-driven world. Why Azure? Microsoft Azure is one of the most popular and widely adopted cloud platforms globally, offering over 200 products and services across a broad range of computing needs. From virtual machines and databases to AI, IoT, and machine learning, Azure empowers businesses of all sizes to innovate faster, scale efficiently, and reduce costs. It’s trusted by some of the world’s largest organizations and has earned a reputation for reliability, security, and robust performance. In this book, we will explore Azure from both a technical and strategic perspective, covering everything from foundational concepts to advanced features. Whether you're new to cloud computing or are already familiar with Azure, this book will help you understand how to leverage the platform to solve real-world business challenges, optimize processes, and drive digital transformation. What You Will Learn This guide is structured to provide a comprehensive learning experience. You will gain a deep understanding of the following key topics: Fundamentals of Cloud Computing and Azure – Learn the basics of cloud technology, how Azure fits into the cloud ecosystem, and the fundamental concepts like IaaS, PaaS, and SaaS. Setting Up and Managing Azure Environments – Master the Azure portal, resource management tools, and best practices for managing subscriptions, resource groups, and security. Azure Compute and Networking – Dive into Azure's computing resources, including virtual machines, Azure Kubernetes Service (AKS), and networking services such as virtual networks and load balancing. Storage, Databases, and Analytics – Discover how Azure handles data storage, backups, disaster recovery, and analytics, with an in-depth look at services like Azure SQL, Cosmos DB, and Data Factory. Security, Identity, and Governance – Understand the essential security measures in Azure, including identity management, encryption, access control, and compliance. Automation and DevOps – Learn how to automate tasks and streamline application deployments with tools like Azure DevOps, Logic Apps, and Azure Automation. AI, Machine Learning, and Advanced Services – Explore Azure’s capabilities in artificial intelligence, machine learning, and big data processing, enabling you to unlock the potential of next-generation technologies. Hybrid Cloud and Migration – Understand how to integrate on-premises systems with Azure, create hybrid cloud environments, and execute cloud migration strategies. Optimizing Performance and Costs – Learn how to manage and optimize your Azure environment for performance, cost efficiency, and scalability. Career Development and Certification – Gain insights into pursuing certifications, building a career in cloud computing, and continuous learning in the Azure ecosystem. Who Should Read This Book? This book is aimed at a wide audience, from beginners to advanced users of Azure. It is perfect for: Business decision-makers who want to understand how Azure can help drive digital transformation in their organizations. IT professionals and system administrators looking to improve their skills in managing Azure environments and ensuring seamless cloud operations. Developers interested in deploying, managing, and scaling applications on Azure. Cloud architects seeking to design robust, scalable, and secure cloud solutions. Students and those beginning their cloud computing journey who wish to build a strong foundation in Azure. How to Use This Book Each chapter of this book is designed to be self-contained, meaning you can read it sequentially or jump to specific topics that are most relevant to your needs. For those just starting, it is recommended to begin with the fundamentals and progress through the chapters for a structured learning experience. Advanced users may prefer to skip ahead to more complex topics like Azure DevOps, machine learning, and security best practices. Throughout the book, you'll find step-by-step tutorials, best practices, and real-world use cases that will help you apply the concepts in practical scenarios. At the end of each chapter, you’ll also find a summary and a set of exercises designed to reinforce the concepts learned. Embracing the Cloud Revolution The cloud is no longer just a buzzword—it's a transformative technology that is fundamentally changing how businesses operate. Microsoft Azure offers the tools, resources, and services to help you stay ahead in this cloud-first world. By mastering Azure, you’re not just learning a platform; you’re gaining the skills needed to shape the future of your organization and career. So, whether you are just beginning your Azure journey or looking to deepen your expertise, this book will provide you with the knowledge, tools, and insights necessary to thrive in the cloud era. Let's embark on this exciting journey of mastering Azure and unlocking the full potential of cloud computing for your business and beyond. 4o mini You said: Prologue ChatGPT said: ChatGPT Prologue Cloud computing has transcended from a mere trend to an essential cornerstone of modern business operations. What was once a cutting-edge concept has now become an everyday necessity, driving how we interact with data, collaborate, innovate, and deliver value to customers. As the world continues to embrace digital transformation, cloud platforms like Microsoft Azure have risen to meet the demands of a rapidly evolving landscape. I have witnessed firsthand the tremendous shift in how companies operate—from small startups to global enterprises—empowering them with scalable, secure, and cost-effective solutions. Cloud platforms, particularly Azure, have not only transformed the IT landscape but also reshaped business models, disrupted industries, and created new opportunities for growth and innovation. The power to build, manage, and scale applications in real-time without the burden of traditional on-premises infrastructure has opened up a new realm of possibilities. For many organizations, adopting cloud computing is not merely a matter of technology—it’s about driving change. It's about adopting a mindset that embraces agility, scalability, and flexibility. However, for those who are new to the cloud or even for those experienced in other platforms, Azure can seem overwhelming with its sheer scope, diversity of services, and ever-evolving nature. That’s where this book comes in. I’ve dedicated countless hours studying, experimenting with, and building on Azure. Through the years, I've encountered the challenges, the triumphs, and the learning curves that come with mastering this expansive platform. But perhaps the most fulfilling part of this journey has been witnessing how Azure empowers businesses—not just from a technical perspective but also from a strategic one. It is a platform that fosters innovation, reduces operational friction, and accelerates the path to digital maturity. In this book, I have distilled everything I’ve learned into a comprehensive guide designed to demystify Azure for anyone—from business leaders to technical experts. It’s a roadmap that breaks down the complexities of Azure’s vast offerings into manageable insights, with practical knowledge and real-world use cases that will guide you through every stage of adoption and mastery. Whether you’re looking to optimize existing systems, build new applications, or migrate your entire infrastructure to the cloud, this guide will equip you with the tools to succeed. But beyond technical knowledge, this book is about empowerment. It’s about helping you see the potential that lies within Azure to reshape how you work, collaborate, and deliver value to your customers. As you turn the pages and dive into the chapters, I hope you will not only discover how Azure works but also realize how it can transform your business, career, and mindset. Cloud computing, especially Azure, is not just a tool—it’s a new way of thinking. So, as we embark on this journey through the powerful world of Microsoft Azure, know that the knowledge you gain here will not just prepare you for today but also position you to tackle the challenges of tomorrow. This book is your gateway to mastering one of the most powerful platforms in the world. I invite you to take this step with me, as together, we unlock the future of business cloud computing. Welcome to your journey of mastering Azure. The cloud awaits.
Author: Ryan Mangan
Publisher: Packt Publishing Ltd
ISBN: 1801070148
Category : Computers
Languages : en
Pages : 734
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Book Description
Learn how to design, implement, configure, and manage your Azure Virtual Desktop environment Key Features Learn everything about designing and deploying an Azure Virtual Desktop environment Gain in-depth insights into Azure Virtual Desktop and prepare successfully for the AZ-140 exam Explore best practices and expert tips on how to set up Azure Virtual Desktop Book DescriptionAzure Virtual Desktop is a cloud desktop virtualization platform that securely delivers virtual desktops and remote apps. Mastering Azure Virtual Desktop will guide you through designing, implementing, configuring, and maintaining an Azure Virtual Desktop environment effectively. This book can also be used as an exam preparation guide to help you sit the Microsoft AZ-140 exam. You’ll start with an introduction to the essentials of Azure Virtual Desktop. Next, you’ll get to grips with planning an Azure Virtual Desktop architecture before learning how to implement an Azure Virtual Desktop environment. Moving ahead, you’ll learn how to manage and control access as well as configure security controls on your Azure Virtual Desktop environment. As you progress, you’ll understand how to manage user environments and configure MSIX app attach and other Azure Virtual Desktop features to enhance the user experience. You’ll also learn about the Azure Active Directory (AD) join and getting started feature. Finally, you’ll discover how to monitor and maintain an Azure Virtual Desktop environment to help you support your users and diagnose issues when they occur. By the end of this Microsoft Azure book, you’ll have covered all the essential topics you need to know to design and manage Azure Virtual Desktop and prepare for the AZ-140 exam.What you will learn Design Azure Virtual Desktop and user identities and profiles Implement networking and storage for Azure Virtual Desktop Create and configure session host images and host pools Manage access and security for MS Azure Virtual Desktop Implement FSLogix Profile Containers and FSLogix Cloud Cache Configure user experience and Azure Virtual Desktop features Plan and implement business continuity and disaster recovery Automate Azure Virtual Desktop tasks Who this book is for If you are an IT professional, workspace administrator, architect, or consultant looking to learn about designing, implementing, and managing Azure Virtual Desktop, this book is for you. You’ll also find this book helpful if you’re preparing for the Microsoft AZ-140 exam.
Author: Abhishek Mishra
Publisher: BPB Publications
ISBN: 9389898161
Category : Computers
Languages : en
Pages : 401
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Book Description
A comprehensive guide that will teach you to build and implement Azure serverless solutions Ê KEY FEATURESÊ - Learn the Function as a Service (FaaS) offering from Microsoft Azure - Build Enterprise-grade workflows and integration using Azure Logic App - Build event-driven Serverless solutions using Azure Event Grid - Use Azure Service Bus to facilitate messaging between Azure Serverless components - Implement advanced Serverless services such as Azure Serverless SQL Database and Azure Serverless Kubernetes Ê DESCRIPTIONÊ The book starts with the basic concepts of Serverless Computing, its evolution, characteristics, and benefits. The next set of chapters is based on Azure Function as a Service (FaaS) programming model where you will gain proficiency in creating Serverless Azure Function, which is the basic unit of Azure Serverless Computing. Furthermore, the book focuses on building Azure Serverless Messaging, Integration, and Workflow that facilitates communication between components in the Azure Serverless ecosystem. Azure Logic Apps, Azure Event Grid, and Azure Service Bus are explained in detail. You will also work with advanced Azure Serverless services such as Azure Serverless Database and Azure Serverless Kubernetes that are essential for building highly scalable (at runtime) next-generation Serverless applications. Towards the end, the book focuses on reference architectures for Serverless Computing scenarios.ÊÊ Ê By now, you will be proficient in working with Azure Serverless components, and their integration and can design and build an end to end Azure Serverless solution. Ê WHAT WILL YOU LEARNÊÊÊ - Design and implement Serverless workflows using Azure Logic Apps - Design and implement Integration Services using Azure Event Grid - Learn how to build Messaging Services on Azure Serverless platform - Work with Azure Serverless SQL database - Get familiar with Azure Serverless Kubernetes Architecture Ê WHO THIS BOOK IS FORÊÊ Anyone familiar with Cloud Fundamentals can use this book to get upskilled in Azure Serverless Computing and become an expert in it. Architects and Developers proficient in Microsoft Azure can use this book to learn Azure Serverless Computing and apply the knowledge gained to design and build solutions in this area. Ê TABLE OF CONTENTS 1.Ê Introduction to Azure Serverless Computing 2.Ê Azure Functions 3.Ê Azure Durable Functions 4.Ê Azure Logic Apps 5.Ê Azure Event Grid 6.Ê Azure Service Bus 7.Ê Azure Serverless SQL Database 8.Ê Azure Serverless Kubernetes 9.Ê Designing Azure Serverless Solutions 10. Implementing Azure Serverless Solutions
Author: Swapnil Mule
Publisher: Orange Education Pvt Ltd
ISBN: 8197256233
Category : Computers
Languages : en
Pages : 464
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Book Description
TAGLINE Empower Your Data Insights with Azure Synapse Analytics KEY FEATURES ● Leverage Azure Synapse Analytics for data warehousing, big data analytics, and machine learning in one environment. ● Integrate with Azure services like Azure Data Lake Storage and Azure Machine Learning to enhance analytics. ● Gain insights from real-world examples and best practices to solve complex data challenges. DESCRIPTION Unlock the full potential of Azure Synapse Analytics with Ultimate Azure Synapse Analytics, your definitive roadmap to mastering the art of data analytics in the cloud era. From the foundational concepts to advanced techniques, each chapter offers practical insights and hands-on tutorials to streamline your data workflows and drive actionable insights. Discover how Azure Synapse Analytics revolutionizes data processing and integration, empowering you to harness the vast capabilities of the Azure ecosystem. Seamlessly transition from traditional data warehousing to cutting-edge big data analytics, leveraging serverless and dedicated resources for optimal performance. Dive deep into Synapse SQL, explore advanced data engineering with Apache Spark, and delve into machine learning and DevOps practices to stay ahead in today's data-driven landscape. Whether you're seeking to optimize performance, ensure compliance, or facilitate seamless migration, this book provides the expertise needed to excel in your role. Gain valuable insights into industry best practices, enhance your data engineering skills, and drive innovation within your organization. WHAT WILL YOU LEARN ● Understand the significance of Azure Synapse Analytics in modern data analytics. ● Learn to set up and configure your Synapse workspace for efficient data processing. ● Dive into Synapse SQL and discover techniques for data exploration and analysis. ● Master advanced techniques for seamless data integration into Azure Synapse Analytics. ● Explore big data engineering concepts and leverage Apache Spark for scalable data processing. ● Discover how to implement machine learning models and algorithms using Synapse Analytics. ● Ensure data security and regulatory compliance with effective security measures in Azure Synapse Analytics. ● Optimize performance and efficiency through performance tuning strategies and optimization techniques. ● Implement DevOps practices for effective data engineering and continuous integration and deployment. ● Gain insights into best practices for successful implementation and migration to Azure Synapse Analytics for streamlined data operations. WHO IS THIS BOOK FOR? This comprehensive book is crafted for data engineers, analysts, architects, and developers eager to master Azure Synapse Analytics, providing practical insights and advanced techniques. Whether you're a novice or a seasoned professional in the field of data analytics, this book offers invaluable resources to elevate your skills. TABLE OF CONTENTS 1. The World of Azure Synapse Analytics 2. Setting Up the Synapse Workspace 3. Synapse SQL and Data Exploration 4. Data Integration Technique 5. Big Data Engineering with Apache Spark 6. Machine Learning with Synapse 7. Implementing Security and Compliance 8. Performance Tuning and Optimization 9. DevOps for Data Engineering 10. Ensuring Implementation Success and Effective Migration Index
Author: Christoph Korner
Publisher: Packt Publishing Ltd
ISBN: 1803246790
Category : Computers
Languages : en
Pages : 624
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Book Description
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services Key Features Implement end-to-end machine learning pipelines on Azure Train deep learning models using Azure compute infrastructure Deploy machine learning models using MLOps Book Description Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline. What you will learn Understand the end-to-end ML pipeline Get to grips with the Azure Machine Learning workspace Ingest, analyze, and preprocess datasets for ML using the Azure cloud Train traditional and modern ML techniques efficiently using Azure ML Deploy ML models for batch and real-time scoring Understand model interoperability with ONNX Deploy ML models to FPGAs and Azure IoT Edge Build an automated MLOps pipeline using Azure DevOps Who this book is for This book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended.
Author: Zoiner Tejada
Publisher: "O'Reilly Media, Inc."
ISBN: 1491956623
Category : Computers
Languages : en
Pages : 411
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Book Description
Helps users understand the breadth of Azure services by organizing them into a reference framework they can use when crafting their own big-data analytics solution.
