Deep Dive: Azure Cloud Experience for Data Workloads Anywhere | Data Exposed Live
Автор: Azure SQL
Загружено: 2021-07-01
Просмотров: 423
Описание:
Did you know you can get Azure innovation and cloud benefits for your data workloads on any infrastructure and any Kubernetes?
Azure Arc-enabled data services will be generally available on July 30, 2021. This new offering from Azure SQL can run on any Kubernetes in your own datacenters, at the edge, and in multi-cloud environment. You get all the Azure innovations on this evergreen SQL that has no end-of-support and is only available from Azure, plus all the cloud benefits like elastic scale, built-in automation, and a cloud billing model that helps to manage costs efficiently.
It’s easy to get started with the Azure Arc Jumpstart resources available on GitHub. Learn more about this new feature with Buck Woody, Dhananjay Mahajan, Lior Kamrat, and Anna Hoffman on Data Exposed Live.
0:00 Show begins
0:27 Introductions
4:34 Meet Dhananjay Mahajan
6:37 Azure Arc Overview
7:14 Demo
18:18 Demo - Create Azure Arc data controller (preview)
27:50 Demo - Create Azure SQL Managed Instance - Azure Arc
32:40 Demo - Metrics
37:00 Client Demo
42:11 Meet Lior Kamrat
44:00 Azure Arc Jumpstart
49:52 Demo - ArcBox
54:48 Demo -Deploying in Azure Data Studio
56:24 Getting started
✔️ Resources:
Azure Arc Jumpstart: https://aka.ms/AzureArcJumpstart
Azure Arc–enabled data services (preview): https://aka.ms/azurearcdata
Bring cloud experiences to data workloads anywhere with Azure SQL enabled by Azure Arc: aka.ms/hde2021-blog
📌 Let's connect:
LinkedIn: Buck Woody, https://aka.ms/BuckWoody
Twitter: Dhananjay Mahajan, / dhan_mm
Twitter: Lior Kamrat, / liorkamrat
Twitter: Anna Hoffman, / analyticanna
Twitter: AzureSQL, https://aka.ms/azuresqltw
🔴 To check out even more Data Exposed Live episodes, see our playlist: https://aka.ms/dataexposedlive
🔔 Subscribe to our channels for even more SQL tips: https://aka.ms/msazuresqlyt
#AzureSQL #SQLServer #AzureArc #AzureArcEnabledDataServices #AzureCloudExperience #DataExposed
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