![]() I thought it should know where they should go. Part of my struggle in understanding what was happening is each time I tried to create a notebook it asked me for locations and files. The organization of notebooks and files in Azure Data Studio So, let’s go through the process of creating your first notebook step by step with explanations about what’s happening. For example, it was not entirely clear to me that one part of the process is creating a folder to store your notebooks with your markdown files and other content. This means that the instructions for how to create, organize, and use notebooks within Azure Data Studio is a bit lacking. ![]() One of the interesting things about working with notebooks, is that if you want to work with notebooks, it’s likely that you already have and you prefer to use them. How in the world do you work with notebooks in Azure Data Studio? Now that you have the background of what I was trying to accomplish, let’s look at the process I went through getting this done. I realized I could put together my entire demo package to share with the attendees and build the demo so that I could execute it a step at a time without highlighting. I watched a couple of demos on using notebooks and found some of the notebooks that have been created by Microsoft. ![]() I was also looking for better ways to automate the process, but more about that later. As I was working through testing my demo, I found executing code by highlighting and pushing “run” in either Data Studio or in SQL Server Management Studio was difficult because I struggled to control highlighting the code. Most of the code is ready to go since I have done this presentation a few times. I will be presenting a session on elastic queries in Azure SQL database. Let’s start with the core problem that I’m trying to solve today. ![]()
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