Did you know that Jupyter Notebooks can help you manage your SQL Server enterprise no matter how large or small? In this episode of Data Exposed, Kevin Warren demo’s a Jupyter Notebook in Azure Data Studio that was created to be a DBA’s handbook of resources, knowledge, code, troubleshooting tips, and step-by-step examples on how to Administer, Monitor, Troubleshoot, Fix and Repair issues you may encounter in your day-to-day life as a DBA. This notebook brings you content developed over a career of consulting at some of the world’s largest SQL customers.
COVID19 was the Inspiration for this Notebook. Most Microsoft Consultants were prevented from traveling on-site to our customers during the first year of the pandemic. Kevin needed to create some sort of remote-delivery mechanism that will be as close as possible to actually being on-site, to help customers continue to deploy, manage, and provide for the day to day “care and feeding” of their SQL Server and data platforms, even when we could not be on-site and the DBA’s had to work from home or operate with limited staff in the data center.
0:00 Introduction
1:20 Project overview
2:48 Demo: Jupyter Notebook in Azure Data Studio
7:56 Where you can run this notebook
✔️ Resources:
You can clone Kevin’s Notebook from GitHub here: [ Ссылка ]
What is Azure Data Studio?: [ Ссылка ]
Download and install Azure Data Studio: [ Ссылка ]
Anna Hoffman and Warwick Rudd of Microsoft discuss: [ Ссылка ]
This is a good article and a getting started video by Vicki Harp of Microsoft: [ Ссылка ]
How to use Jupyter Notebooks in Azure Data Studio on Azure Friday with Vicky Harp and Scott Hanselman: [ Ссылка ]
Build SQL Database Projects Easily in Azure Data Studio with Drew Skwiers-Koballa: [ Ссылка ]
Azure Data Studio - The New Frontier with Warwick Rudd: [ Ссылка ]
📌 Let's connect:
Twitter: Anna Hoffman, [ Ссылка ]
LinkedIn: Kevin Warren, [ Ссылка ]
Twitter: AzureSQL, [ Ссылка ]
🔴 To check out even more Data Exposed Live episodes, see our playlist: [ Ссылка ]
🔔 Subscribe to our channels for even more SQL tips:
Microsoft Azure SQL: [ Ссылка ]
Microsoft SQL Server: [ Ссылка ]
Microsoft Developer: [ Ссылка ]
#AzureSQL #SQLServer #AzureDataStudio
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