• views: 19
• date: 18 October 2026
• posted by: BeMyLove

As organizations build increasingly data-driven and AI-powered applications, they need database platforms that can grow without sacrificing performance or resiliency. In this practical guide, Bob Ward, a Principal Architect on the Microsoft Azure Data team, takes readers inside Hyperscale's distributed architecture, showing how it uses the power of SQL Server to deliver the scale, performance, and resiliency required by modern cloud workloads.
You will learn how to deploy Hyperscale, build applications that use JSON, vectors, in-database RAG, AI agents, and GitHub Copilot, and leverage core capabilities such as serverless compute autoscaling, elastic pools, automatic storage growth, high availability and disaster recovery, named replicas, and zone redundancy. Practical design patterns demonstrate how teams can start small, scale as needed, and combine familiar SQL Server skills with new cloud-first, AI-ready techniques.
Whether you are modernizing existing applications or building new intelligent systems, this guide equips you to use Azure SQL Hyperscale as a flexible, reliable, AI-enabled cloud database platform for workloads at any scale.
What You Will Learn

Deploy Azure SQL Hyperscale for workloads of any size

Translate existing SQL Server skills to cloud-based development

Understand the distributed architecture and internals of Hyperscale

Build data-driven applications using JSON, vectors, RAG, and AI agents

Develop Hyperscale solutions using GitHub Copilot and related tools

Secure cloud data and implement high availability and disaster recovery strategies

Optimize performance across Hyperscale workloads

Apply practical design patterns for scalability, resiliency, and modernization

Who This Book Is For
Developers, IT professionals, and SQL Server practitioners who want to build data-driven, AI-powered applications using Azure SQL Hyperscale.

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