内容来自原始来源：
YouTube — Microsoft Developer
在 YouTube — Microsoft Developer 阅读全文本内容来自公开来源。若发布内容影响您的权利 → 申请删除信息
适用于各种工作负载的超大规模
大家好。我是 David Plus，一名项目经理，具有 Azure SQL 中的 SQL Server 存储引擎背景。今天我们要讨论的是超大规模。 Hyper 可针对每种工作负载进行扩展。是超大型还是规模化？我们将讨论为什么不能两者兼而有之。所以…
AI 摘要：要点
- 大家好。我是 David Plus，一名项目经理，具有 Azure SQL 中的 SQL Server 存储引擎背景。今天我们要讨论的是超大规模。 Hyper 可针对每种工作负载进行扩展。是超大型还是规模化？我们将讨论为什么不能两者兼而有之。所以…
相关文章
ENWhy AI agents Cost So Much
ultimate goal isn't just use fewer tokens. >> That's right. In some cases, using fewer tokens might actually produce worse results because your agent might be trying to get the same accuracy by calling multiple times. And so, that is not the best way to optimize just for…
ENMove Your SQL Server to Azure VMs. Then Build on It.
Hi folks, my name is Pam Leude and I am a principal product architect on the SQL team and today I'd like to talk to you a little bit about moving your SQL Server workloads to Azure VMs and then what's possible once you get there. So let's start with a little bit about why you…
ENMigrate to Azure SQL. Then Build Something New
Welcome everyone to migrate to Azure SQL and then build something new. In this session, we're going to talk about a working app, how we migrate this from an existing SQL server to Azure SQL and all of this end to end in a demo. So with that, let's get rolling. But before we…
ENDatabase Agents: A New Way to Manage Databases in Fabric
Okay, everyone. Welcome to this session on a new way to manage databases in Fabric. So, I'm Patrick LeBlanc. I am a principal program manage principal product manager on the SQL Server on the Azure data team SQL Server team Azure data team at Microsoft. Um it's today I want to…