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Titlebook: Azure SQL Hyperscale Revealed; High-performance Sca Zoran Bara?,Daniel Scott-Raynsford Book 2023 Zoran Bara? and Daniel Scott-Raynsford 202

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41#
發(fā)表于 2025-3-28 18:01:56 | 只看該作者
Deploying Azure SQL DB Hyperscale Using PowerShellthe Azure Portal. Although using the portal is a great way to learn about the various components of a Hyperscale database and how they fit together, it is strongly recommended to move to using infrastructure as code (IaC) to deploy your environments. In this chapter, we’ll look at using PowerShell a
42#
發(fā)表于 2025-3-28 20:07:19 | 只看該作者
43#
發(fā)表于 2025-3-29 01:08:48 | 只看該作者
44#
發(fā)表于 2025-3-29 05:31:26 | 只看該作者
45#
發(fā)表于 2025-3-29 11:16:42 | 只看該作者
Monitoring and Scaling focused on the design and deployment of a typical highly available Hyperscale environment. However, we now need to start looking at how we continue to effectively operate the Hyperscale environment post-deployment. As your usage of a Hyperscale database grows and changes, being able to proactively
46#
發(fā)表于 2025-3-29 11:36:49 | 只看該作者
Backup, Restore, and Disaster Recoveryanual and automatically scaling features and showed how to scale to support different usage patterns and workloads. In this chapter, we will explain the advantages of Azure SQL Hyperscale deployments in detail in the examples. We will cover fast database backup and restore operations and explain why
47#
發(fā)表于 2025-3-29 17:09:36 | 只看該作者
Security and Updating available backup storage redundancy options. We explained how to use metrics to monitor backup storage consumption. In this chapter, we will move on to discussing the security, updating, and pathing of our SQL cloud services. These are very different but equally important parts of every Azure SQL d
48#
發(fā)表于 2025-3-29 22:16:52 | 只看該作者
49#
發(fā)表于 2025-3-30 00:14:57 | 只看該作者
Book 2023re data than ever at a lower cost..The book teaches you how todeploy, configure, and monitor an Azure SQL Hyperscale database in a production environment. The book also covers migrating your current workloads from traditional architecture to Azure SQL Hyperscale.?.What You Will Learn.Understand the
50#
發(fā)表于 2025-3-30 05:45:54 | 只看該作者
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