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Deep Dive: Why and How Customers are Using Azure SQL Hyperscale | Data Exposed Live

Microsoft Developer ↗

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Azure SQL Database Hyperscale provides cloud elasticity, scalability, and performances that are ideal for all modern workloads. From small applications to huge databases, it offers peace of mind to developers so that they can focus on creating the best solution possible, without worrying about growth pains and scalability issues. In this episode with Davide Mauri and Denzil Riberio, we’ll see how companies of any size and in any market are taking advantage of Azure SQL Database Hyperscale to create solutions otherwise much more complex and expensive. And for each case study, we’ll discuss in detail some of the features of Azure SQL DB Hyperscale that made the difference and played pivotal roles in such solutions so that you can get inspired and too! 0:00 Stream starts 1:57 Show begins 3:16 Introductions 5:40 Hyperscale 101 Architecture 20:30 Relational + Multi Model Overview & Demo 30:04 Clearent/ Xplore Customer Stories 33:22 Columnstore Overview 42:50 Quest Customer Story 44:47 Clearsale Customer Story 46:54 Scale-Out, Read/Write Workload Separation Overview & Demo 54:33 Big Red Cloud Customer Story 55:44 BMI Customer Story 59:50 Schneider Electric Customer Story 1:01:20 Other case studies ✔️ Resources: BKW Energie Customer Story: https://customers.microsoft.com/en-us/story/825080-bkw-energie-energy-azure Graph processing with SQL Server and Azure SQL Database: https://aka.ms/azuresqlgraph GitHub: Million Song Dataset in Azure SQL DB / SQL Server: https://github.com/azu

Published 2021-08-25 · Watch on YouTube ↗
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