Written for IT and business professionals, this book provides the technical and business insight needed to plan, deploy and manage the services provided by the Microsoft Azure cloud. Find out how to integrate the infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) models with your ex
Microsoft Azure: Planning, Deploying, and Managing Your Data center in the Cloud
β Scribed by Marshall Copeland, Julian Soh, Anthony Puca, Mike Manning, David Gollob (auth.)
- Publisher
- Apress
- Year
- 2015
- Tongue
- English
- Leaves
- 442
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Matter....Pages i-xxviii
Front Matter....Pages 1-1
Microsoft Azure and Cloud Computing....Pages 3-26
Overview of Microsoft Azure Services....Pages 27-69
Azure Real-World Scenarios....Pages 71-86
Planning Your Azure Deployment....Pages 87-110
Front Matter....Pages 111-111
Getting Started with Azure Web Apps....Pages 113-146
Getting Started with Azure Virtual Machines....Pages 147-176
Understanding Azure Storage and Databases....Pages 177-201
Front Matter....Pages 203-203
Extending Your Network with Azure....Pages 205-233
Identity Management with Azure Active Directory....Pages 235-280
Extending Azure Active Directory....Pages 281-300
Clusters, Regional VNets, High Availability, and Disaster Recovery....Pages 301-317
Migrating Your Virtual Machines to Azure....Pages 319-333
Monitoring and Reporting....Pages 335-352
Front Matter....Pages 353-353
Microsofββt Azure Machine Learning....Pages 355-380
Management and BI with HDInsight....Pages 381-397
Working with Intune and RMS....Pages 399-418
Back Matter....Pages 419-426
β¦ Subjects
Data Storage Representation
π SIMILAR VOLUMES
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
<p>Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives.<br>This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, f
<div><p>Get valuable tips and techniques for automating your cloud deployments with Azure PowerShell cmdlets, and learn how to provision Azure services on the fly. In this hands-on guide, Microsoft cloud technology expert Michael Washam shows you how to automate various management tasks and deploy s
Take time to explore Microsoftβs Azure machine learning platform, Azure MLβa production environment that simplifies the development and deployment of machine learning models. In this OβReilly report, Stephen Elston from Quantia Analytics uses a complete data science example (forecasting hourly deman