A deep dive into Azure SQL Hyperscale which, as we will see, betrays the fact this is a great option for almost every SQL workload, not just those that need huge scale.

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▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 - Introduction
01:07 - Regular SQL architecture
02:45 - SQL Hyperscale architecture
03:03 - Components
03:45 - Log Service
05:28 - Page Servers
07:54 - Database storage scale
10:04 - Cache
12:08 - Compute scale
13:18 - Provisioned vCores
17:49 - Scaling the vCores
20:37 - Serverless
23:24 - Replicas
27:25 - Named replicas
29:42 - Geo-replication
33:28 - Elastic pool
38:22 - Per DB min and max vCore
40:27 - Isolation
40:40 - Scaling elastic pool
41:16 - You don't need to know any of this
42:24 - Pricing
43:53 - Huge scale flexibility
44:25 - Other names
45:38 - Close

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