Microsoft Azure

Planning, Deploying, and Managing the Cloud

Micheleen Harris, Anthony Puca, Marshall Copeland, et al.

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Naturwissenschaften, Medizin, Informatik, Technik / Informatik

Beschreibung

Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second edition focuses on improving operational decision tipping points for the professionals leading DevOps and security teams. This will allow you to make an informed decision concerning the workloads appropriate for your growing business in the Azure public cloud.  

Microsoft Azure starts with an introduction to Azure along with an overview of its architecture services such as IaaS and PaaS. You’ll also take a look into Azure’s data, artificial intelligence, and machine learning services. Moving on, you will cover the planning for and adoption of Azure where you will go through budgeting, cloud economics, and designing a hybrid data center. Along the way, you will work with web apps, network PaaS, virtual machines, and much more. 

The final section of the book starts with Azure data services and big data with anin-depth discussion of Azure SQL Database, CosmosDB, Azure Data Lakes, and MySQL. You will further see how to migrate on-premises databases to Azure and use data engineering. Next, you will discover the various Azure services for application developers, including Azure DevOps and ASP.NET web apps. Finally, you will go through the machine learning and AI tools in Azure, including Azure Cognitive Services.

What You Will Learn

  • Apply design guidance and best practices using Microsoft Azure to achieve business growth
  • Create and manage virtual machines
  • Work with AI frameworks to process and analyze data to support business decisions and increase revenue
  • Deploy, publish, and monitor a web app
  • Who This Book Is For 

    Azure architects and business professionals looking for Azure deployment and implementation advice.

     

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    Schlagwörter

    SQL Database, Machine Learning, Azure Functions, Azure PaaS, Azure Kubernets, Azure and AI, Azure IaaS, SQL Warehouse, Artificial Intelligence, Azure