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Michael Collier and Robin Shahan, Microsoft, 2015 Microsoft Azure Essentials: Fundamentals of Azure Additionally, models running in Azure ML can be published as web services. R language scripts integrate with built in Azure ML modules to extend the platform. The Microsoft Azure Machine Learning cloud platform provides simplified yet powerful data management, transformation and machine learning tools. Data Science in the Cloud with Microsoft Azure Machine Learning and R By automating runbooks, you can greatly minimize the occurrence of errors when carrying out repeated tasks and process automation. These runbooks are stored in and backed up by Azure.
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Using a highly scalable workflow execution environment, Azure Automation allows you to orchestrate frequent deployment and life cycle management tasks using runbooks based on Windows PowerShell Workflow functionality.
This ebook introduces a fairly new feature of Microsoft Azure called Azure Automation. Microsoft Azure Essentials: Azure Automation Microsoft Azure Machine Learning (ML) is a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. This ebook will present an overview of modern data science theory and principles, the associated workflow, and then cover some of the more common machine learning algorithms in use today. Microsoft Azure Essentials: Azure Machine Learning Current backup products treat the cloud as a storage endpoint, which we see as a limited-use case for the public cloud. We will cover how the Azure Backup service has evolved into a first-class platform-as-a-service (PaaS) service in Microsoft Azure that integrates with the on-premises enterprise class backup product, System Center Data Protection Manager (DPM), to provide a seamless hybrid cloud backup solution.
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Shreesh Dubey, Vijay Tandra Sistla, Shivam Garg, and Aashish Ramdas Mitch Tulloch, Series Editor, Microsoft Press 2015 Microsoft System Center Data Protection for the Hybrid Cloud In summary, this book is specifically designed for architects and cloud fabric administrators who want to understand what decisions they need to make during the design process and the implications of those decisions, what constitutes best practice, and, ultimately, what they need to do to build out a virtualized network solution that meets today's business requirements while also providing a platform for future growth and expansion.
Nigel Cain, Michel Luescher, Damian Flynn, and Alvin Morales Series Editor: Mitch Tulloch, Microsoft Press 2015
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Here, you’ll see what makes the cloud so compelling to enterprises with which applications you should start your cloud journey how your organization will change, and how skill sets will evolve how to measure progress how to think about security, compliance, and business buy-in and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage Microsoft System Center Building a Virtualized Network Solution, Second Edition This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide answers to these questions. If you spot a book that is no longer available as a free e-book, please let me know.Ĭloud computing ^ Enterprise Cloud Strategyīarry Briggs, Eduardo Kassner, Microsoft Press 2016
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