Author: Chris Seferlis
Publisher: Packt Publishing Ltd
ISBN: 1801810605
Category : Computers
Languages : en
Pages : 454
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Book Description
Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Minimize costs and maximize operations by automating mundane activities using AI tools Ideate solutions using real-world examples for manufacturing process improvement with AI Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples Book Description Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft's award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities. With Practical Guide to Azure Cognitive Services, you'll work through industry-specific examples of implementations to get a head-start in your production journey. You'll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you'll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you'll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions. By the end of this book, you'll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You'll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI. What you will learn Master cost-effective deployment of Azure Cognitive Services Develop proven solutions from an architecture and development standpoint Understand how Cognitive Services are deployed and customized Evaluate various uses of Cognitive Services with different mediums Disseminate Azure costs for Cognitive Services workloads smoothly Deploy next-generation Knowledge Mining solutions with Cognitive Search Explore the current and future journey of OpenAI Understand the value proposition of different AI projects Who this book is for This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.
Author: Ronald Bruinsma
Publisher: Ronald Bruinsma
ISBN: 9083342212
Category : Computers
Languages : en
Pages : 215
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Book Description
Highlights Packed with useful advice and practical insights to help you bypass typical obstacles and get started efficiently with implementing an Azure Cloud environment. Offers extensive understanding on all Azure cloud-related aspects, from the initial stages to ongoing management, making your journey smoother. Discusses a wide range of topics, from creating an effective strategy to long-term Azure cloud governance. Book Description This book is an in-depth guide on cloud adoption, specifically focusing on the Microsoft Azure platform. It presents a step-by-step approach for businesses looking to commence on their digital transformation journey by leveraging Azure's capabilities. Designed to help organizations understand and apply the Cloud Adoption Framework (CAF), it discusses the strategic aspects of cloud adoption, from business case formulation to planning and execution. The book kicks off with a detailed overview of the CAF, its key components, and how it aligns with your organization's business strategy. Then, it navigates through the various stages of the CAF process, including the Strategy, Plan, Ready, and Adopt phases, providing essential insights into the complexities involved in each step. It further delves into technical aspects, discussing the configuration of Azure environments, cloud operations management, and the critical role of security and compliance in a cloud-based infrastructure. This guide also highlights cost management strategies, showcasing how Azure's flexible pricing models can lead to significant savings over time. It demonstrates the power of automation in managing cloud operations and the potential benefits of Infrastructure as Code (IaC) methodologies. What sets this book apart is its focus on practical implementation, filled with real-world examples, best practices, and common pitfalls to avoid. The approach is both comprehensive and modular, catering to readers new to Azure as well as those with experience in the cloud domain. By the end of this guide, you'll have a clear understanding of how to implement and manage an Azure environment that aligns with your organization's needs, thus facilitating a successful cloud migration and ongoing digital transformation. Whether you're a business leader, IT professional, or simply an enthusiast looking to understand the complexities of cloud adoption, this book serves as a reliable resource, providing a solid foundation in Azure cloud adoption as per the CAF guidelines. Table of Contents Introduction to Cloud Adoption Framework (CAF): This chapter introduces the readers to the concept of the Cloud Adoption Framework, its importance, and the various stages involved in the process. Strategize and Plan: It guides you through the process of establishing key performance indicators (KPIs), assessing your digital estate, and formulating a cloud adoption plan. Ready Phase: Here, we discuss the readiness aspect of cloud adoption. This includes preparing the digital environment, capacity planning, and establishing a cloud adoption team. Adopt Phase: It covers topics like infrastructure setup, data migration, application innovation, and provides guidance on managing possible challenges. Govern and Manage: It offers detailed insights on cost management, security and compliance, and how to establish a robust monitoring and incident response system. Secure and Organize Phase: . It includes security considerations, aligning your organization and teams, and understanding the importance of Azure landing zones. Implementing Best Practices: The final chapter shares the 11 best practices for implementing the Cloud Adoption Framework.
Author: Imran Ahmad
Publisher: Imran Ahmad
ISBN:
Category : Computers
Languages : en
Pages : 215
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Book Description
Pass Azure Fundamentals AZ-900 Exam AZ-900 is an essential exam covering all the foundational concepts about the cloud and Microsoft Azure offerings. Azure fundamentals is a series of below 6 study areas to familiarize you with Azure and its many services and features. Describe Cloud Concepts Describe Core Azure Services Describe Core Solutions and Management Tools Describe General Security and Network Security Describe Identity, Governance, Privacy and Compliance Describe Azure cost management and Service Level Agreements By learning all of these concepts using this guide and practice sets, the reader will be ready to take the exam with confidence. Practice sample tests are in this book. You can also access the most updated versions of the sample sets via an online channel. You can prepare within 5 days or more precisely in less than 24 hours. Learn the fundamentals of Azure, and get AZ-900 certified, with this beginner's guide together with practice sets!
Author: Iain Foulds
Publisher: Manning Publications
ISBN: 1617297623
Category : Computers
Languages : en
Pages : 366
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Book Description
Learn Azure in a Month of Lunches, Second Edition, is a tutorial on writing, deploying, and running applications in Azure. In it, you’ll work through 21 short lessons that give you real-world experience. Each lesson includes a hands-on lab so you can try out and lock in your new skills. Summary You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons. As you explore the examples, exercises, and labs, you'll pick up valuable skills immediately and take your first steps to Azure mastery! This fully revised new edition covers core changes to the Azure UI, new Azure features, Azure containers, and the upgraded Azure Kubernetes Service. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Microsoft Azure is vast and powerful, offering virtual servers, application templates, and prebuilt services for everything from data storage to AI. To navigate it all, you need a trustworthy guide. In this book, Microsoft engineer and Azure trainer Iain Foulds focuses on core skills for creating cloud-based applications. About the book Learn Azure in a Month of Lunches, Second Edition, is a tutorial on writing, deploying, and running applications in Azure. In it, you’ll work through 21 short lessons that give you real-world experience. Each lesson includes a hands-on lab so you can try out and lock in your new skills. What's inside Understanding Azure beyond point-and-click Securing applications and data Automating your environment Azure services for machine learning, containers, and more About the reader This book is for readers who can write and deploy simple web or client/server applications. About the author Iain Foulds is an engineer and senior content developer with Microsoft. Table of Contents PART 1 - AZURE CORE SERVICES 1 Before you begin 2 Creating a virtual machine 3 Azure Web Apps 4 Introduction to Azure Storage 5 Azure Networking basics PART 2 - HIGH AVAILABILITY AND SCALE 6 Azure Resource Manager 7 High availability and redundancy 8 Load-balancing applications 9 Applications that scale 10 Global databases with Cosmos DB 11 Managing network traffic and routing 12 Monitoring and troubleshooting PART 3 - SECURE BY DEFAULT 13 Backup, recovery, and replication 14 Data encryption 15 Securing information with Azure Key Vault 16 Azure Security Center and updates PART 4 - THE COOL STUFF 17 Machine learning and artificial intelligence 18 Azure Automation 19 Azure containers 20 Azure and the Internet of Things 21 Serverless computing
Author: Olivier Mertens
Publisher: Packt Publishing Ltd
ISBN: 1803230738
Category : Computers
Languages : en
Pages : 284
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Book Description
Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect’s perspective to developing end-to-end solutions Purchase of the print or Kindle book includes a free PDF eBook Key Features Translate and implement conceptual architectures with the right Azure services Inject artificial intelligence into data solutions for advanced analytics Leverage cloud computing and frameworks to drive data science workloads Book DescriptionWith data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution. You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions. By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.What you will learn Design scalable and cost-effective cloud data platforms on Microsoft Azure Explore architectural design patterns with various use cases Determine the right data stores and data warehouse solutions Discover best practices for data orchestration and transformation Help end users to visualize data using interactive dashboarding Leverage OpenAI and custom ML models for advanced analytics Manage security, compliance, and governance for the data estate Who this book is forThis book is for anyone looking to elevate their skill set to the level of an architect. Data engineers, data scientists, business intelligence developers, and database administrators who want to learn how to design end-to-end data solutions and get a bird’s-eye view of the entire data platform will find this book useful. Although not required, basic knowledge of databases and data engineering workloads is recommended.
Author: Aniruddha Deswandikar
Publisher: Packt Publishing Ltd
ISBN: 1805128949
Category : Computers
Languages : en
Pages : 314
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Book Description
Overcome data mesh adoption challenges using the cloud-scale analytics framework and make your data analytics landscape agile and efficient by using standard architecture patterns for diverse analytical workloads Key Features Delve into core data mesh concepts and apply them to real-world situations Safely reassess and redesign your framework for seamless data mesh integration Conquer practical challenges, from domain organization to building data contracts Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDecentralizing 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.What you will learn Build a strategy to implement a data mesh in Azure Cloud Plan your data mesh journey to build a collaborative analytics platform Address challenges in designing, building, and managing data contracts Get to grips with monitoring and governing a data mesh Understand how to build a self-service portal for analytics Design and implement a secure data mesh architecture Resolve practical challenges related to data mesh adoption Who this book is for This book is for chief data officers and data architects of large and medium-size organizations who are struggling to maintain silos of data and analytics projects. Data architects and data engineers looking to understand data mesh and how it can help their organizations democratize data and analytics will also benefit from this book. Prior knowledge of managing centralized analytical systems, as well as experience with building data lakes, data warehouses, data pipelines, data integrations, and transformations is needed to get the most out of this book.
Author: Greg Beaumont
Publisher: Packt Publishing Ltd
ISBN: 1837634335
Category : Computers
Languages : en
Pages : 308
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Book Description
Unleash the full potential of Power BI with the integration of AI and machine learning techniques using OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Take flight with Power BI machine learning and OpenAI using hands-on examples from the FAA airline data Unlock the full potential of Power BI for advanced analytics using OpenAI Design stunning data presentations, seamless integration of machine learning tools and technologies with OpenAI Book Description Microsoft Power BI is the ultimate solution for businesses looking to make data-driven decisions and unlock the full potential of their data. Unleashing Your Data with Power BI Machine Learning and OpenAI is designed for data scientists and BI professionals seeking to improve their existing solutions and workloads using AI. The book explains the intricacies of the subject by using a workshop-style data story for data ingestion, data modeling, analytics, and predictive analytics with Power BI machine learning. Along the way, you'll learn about AI features, AI visuals, R/Python integration, and OpenAI integration. The workshop-style content allows you to practice all your learnings in real-life challenges and gain hands-on experience. Additionally, you'll gain an understanding of AI/ML, step by step, with replicable examples and references. From enhancing data visualizations to building SaaS Power BI ML models, and integrating Azure OpenAI, this book will help you unlock new capabilities in Power BI. By the end of this book, you'll be well-equipped to build ML models in Power BI, plan projects for both BI and ML, understand R/Python visuals with Power BI, and introduce OpenAI to enhance your analytics solutions. What you will learn Discover best practices for implementing AI and ML capabilities in Power BI along with integration of OpenAI into the solution Understand how to integrate OpenAI and cognitive services into Power BI Explore how to build a SaaS auto ML model within Power BI Gain an understanding of R/Python integration with Power BI Enhance data visualizations for ML feature discovery Discover how to improve existing solutions and workloads using AI and ML capabilities in Power BI with OpenAI Acquire tips and tricks for successfully using AI and ML capabilities in Power BI along with integration of OpenAI into the solution Who this book is for This book is for data science and BI professionals looking to expand their skill sets into Power BI machine learning and OpenAI. This book is also useful for data scientists, data analysts, and IT professionals who want to learn how to incorporate OpenAI into Power BI for advanced experience.
Author: M.B. Chatfield
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 253
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Book Description
Mastering Microsoft Azure for AI: A Beginner's Guide is the definitive guide for anyone who wants to learn how to build and deploy artificial intelligence (AI) solutions on Microsoft Azure. This comprehensive book covers everything you need to know, from the basics of AI to the latest Azure AI services and technologies. Learn the fundamentals of AI Explore Azure AI services and technologies Build and deploy your own AI solutions Whether you're a beginner or an experienced developer, Mastering Microsoft Azure for AI: A Beginner's Guide is the perfect resource for learning how to build and deploy AI solutions on Microsoft Azure.
Author: Ritesh Modi
Publisher: Packt Publishing Ltd
ISBN: 1789612276
Category : Computers
Languages : en
Pages : 225
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Book Description
Compose and decompose ARM templates and use advanced concepts like looping, conditions, dependencies, PowerShell and Desired State Configuration. Key FeaturesDesign, implement, and unit test ARM templatesDevelop and deploy ARM templates following security best practicesBook Description Azure Resource Manager (ARM) templates are declarations of Azure resources in the JSON format to provision and maintain them using infrastructure as code. This book gives practical solutions and examples for provisioning and managing various Azure services using ARM templates. The book starts with an understanding of infrastructure as code, a refresher on JSON, and then moves on to explain the fundamental concepts of ARM templates. Important concepts like iteration, conditional evaluation, security, usage of expressions, and functions will be covered in detail. You will use linked and nested templates to create modular ARM templates. You will see how to create multiple instances of the same resources, how to nest and link templates, and how to establish dependencies between them. You will also learn about implementing design patterns, secure template design, the unit testing of ARM templates, and adopting best practices. By the end of this book, you will understand the entire life cycle of ARM templates and their testing, and be able to author them for complex deployments. What you will learnUnderstand the foundations of ARM templates including nested and linked templatesDesign, create, and unit test ARM templates using best practicesLearn about conditional deployments, looping, Custom Script Extensions using PowerShell, Bash, and DSCImplement design patterns related to ARM templatesRun post-deployment PowerShell and Desired State Configuration scriptsCreate solutions and deploy them on Azure using ARM templatesWho this book is for This books is for developers, DevOps engineers, and architects who have experience in Azure.
Author: Reza Salehi
Publisher: "O'Reilly Media, Inc."
ISBN: 1098135768
Category : Computers
Languages : en
Pages : 335
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Book Description
How do you deal with the problems you face when using Azure? This practical guide provides over 75 recipes to help you to work with common Azure issues in everyday scenarios. That includes key tasks like setting up permissions for a storage account, working with Cosmos DB APIs, managing Azure role-based access control, governing your Azure subscriptions using Azure Policy, and much more. Author Reza Salehi has assembled real-world recipes that enable you to grasp key Azure services and concepts quickly. Each recipe includes CLI scripts that you can execute in your own Azure account. Recipes also explain the approach and provide meaningful context. The solutions in this cookbook will take you beyond theory and help you understand Azure services in practice. You'll find recipes that let you: Store data in an Azure storage account or in a data lake Work with relational and nonrelational databases in Azure Manage role-based access control (RBAC) for Azure resources Safeguard secrets in Azure Key Vault Govern your Azure subscription using Azure Policy Use CLI code to construct your application or fix a particular problem
