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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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發(fā)表于 2025-3-21 18:24:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Azure SQL Hyperscale Revealed
期刊簡(jiǎn)稱High-performance Sca
影響因子2023Zoran Bara?,Daniel Scott-Raynsford
視頻videohttp://file.papertrans.cn/168/167777/167777.mp4
發(fā)行地址Helps you run faster and more scalable and reliable data workloads at a lower cost.Shows how to migrate existing relational workloads to a more scalable architecture.Enables you to scale beyond the ge
圖書(shū)封面Titlebook: Azure SQL Hyperscale Revealed; High-performance Sca Zoran Bara?,Daniel Scott-Raynsford Book 2023 Zoran Bara? and Daniel Scott-Raynsford 202
影響因子Take a deep dive into the Azure SQL Database Hyperscale Service Tier and discover a new form of cloud architecture from Microsoft that supports massive databases. The new horizontally scalable architecture, formerly code-named Socrates, allows you to decouple compute nodes from storage layers. This radically different approach dramatically increases the scalability of the service. This book shows you how to leverage Hyperscale to provide next-level scalability, high throughput, and fast performance from large databases in your environment..The book begins by showing how Hyperscale helps you eliminate many of the problems of traditional high-availability and disaster recovery architecture. You’ll learn how Hyperscale overcomes storage capacity limitations and issues with scale-up times and costs. With Hyperscale, your costs do not increase linearly with database size and you can manage more 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
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沙發(fā)
發(fā)表于 2025-3-21 22:08:43 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:37:42 | 只看該作者
Klemens Burg,Herbert Haf,Friedrich Willeo gave us the opportunity to identify and examine some of the key features of Hyperscale in more detail. In this chapter and the next four, we’re going to demonstrate these key features of Hyperscale by deploying a more comprehensive example into an Azure environment. This environment will be repres
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發(fā)表于 2025-3-22 04:34:46 | 只看該作者
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發(fā)表于 2025-3-22 09:09:53 | 只看該作者
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發(fā)表于 2025-3-22 13:09:27 | 只看該作者
H?here Mathematik für Ingenieure Band Iploying it. This included creating the starting environment, deploying the Hyperscale database into the virtual network using a private endpoint, and enabling transparent data encryption with a customer-managed key. We also took a look at how DBAs can manage the Hyperscale database from within the v
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發(fā)表于 2025-3-22 21:00:50 | 只看該作者
https://doi.org/10.1007/978-3-658-19428-4primary region. In this chapter, we will perform the final tasks that we need to do to improve the security and monitoring of our Hyperscale database. This will help our environment align to the practices outlined in the security and operational excellence pillars in the Azure Well-Architected Frame
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發(fā)表于 2025-3-22 23:27:52 | 只看該作者
https://doi.org/10.1007/978-3-658-19428-4the 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
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發(fā)表于 2025-3-23 03:01:24 | 只看該作者
,Vektorr?ume beliebiger Dimensionen,ive IaC models. The chapter also stepped through the process of deploying the example SQL Hyperscale environment using Azure PowerShell, as well as providing a closer look at some of the commands themselves. In this chapter, we are going to replicate the same process we used in the previous chapter,
10#
發(fā)表于 2025-3-23 07:42:26 | 只看該作者
,Vektorr?ume beliebiger Dimensionen,Bash). However, as we’ve noted in the previous chapters, declarative IaC provides many benefits so should be used whenever possible. In this chapter, we are going to deploy the same SQL Hyperscale environment that was defined in Chapter 4, except this time we’ll be using Azure Bicep. We will look at
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