Samples and Best practices to use Azure SQL DB to build modern, mission critical applications, with ease and confidence.

Make sure you have an Azure SQL DB database to use. If you don't have an Azure account you, you can create one for free that will also include a free Azure SQL DB tier:

https://azure.microsoft.com/en-us/free/free-account-faq/

To create a new database, follow the instructions here:

Create Azure SQL Database

or, if you're already comfortable with Azure CLI, you can just execute (using Powershell or Command Prompt, Bash, via WSL, a Linux environment or Azure Cloud Shell)

az group create -n <my-resource-group> -l WestUS2
az sql server create -g <my-resource-group> -n <my-server-name> -u <my-user> -p <my-password>
az sql db create -g <my-resource-group> --server <my-server-name> -n DevDB --service-objective BC_Gen5_2

Once the database is created, you can connect to it using Azure Data Studio. If you need help in setting up your first connection to Azure SQL with Azure Data Studio, this quick video will help you:

How to connect to Azure SQL Database from Azure Data Studio

Azure Data Studio supports Jupyter Notebooks. They will be used in some samples. If you never used them before, take a look here:

Introduction to Azure Data Studio Notebooks

1. Create Database: Create an Azure SQL database
2. Restore Database: Restoring a database in Azure SQL
3. Resilient Connections: How to create resilient solutions with Azure SQL
4. Work with JSON: Working with JSON data in Azure SQL
5. Graph Models: Graph model sample and references
6. GeoSpatial Support: Working with GeoSpatial data in Azure SQL
7. Key-Value Store: How to implement a Key-Value store with In-Memory tables
8. Network Latency: How to minimize the impact of network latency with using Azure SQL
9. Read Committed Snapshot: With Azure SQL default isolation level writers will not block readers
10. External Data Access: Importing or using external data with Azure SQL
11. Partitioning: Work In Progress
12. Updates and Deletes: Work In Progress
13. Temporal Tables: Work In Progress
14. Change Tracking: Using Change Tracking to detected changed rows
15. Change Data Capture: Using Change Data Capture to detected changed data
16. Columnstore: Work In Progress
17. Data Masking: Work In Progress
18. Ledger Tables: Work In Progress
19. Row Level Security: Work In Progress
20. Grouping Sets: Work In Progress
21. Windowing Functions: Work In Progress
22. Views: Work In Progress
23. Stored Procedures: Work In Progress
24. User Defined Functions: Work In Progress

If you want to learn more on how to create modern scalable applications with Azure SQL you should read this book:

Practical Azure SQL Database for Modern Developers

that comes loaded with samples too: https://github.com/yorek/practical-azure-sql-db-for-modern-developers