This content is part of one or more learning paths. To unlock, use the Enroll button to enroll in a learning path.
Aravind Krishna stops by to chat with Scott Hanselman and take a look at common design patterns for building highly scalable solutions with Azure Cosmos DB. We will talk a little bit about modeling data and how to choose an appropriate partition key. We then look at a few patterns like event sourcing, time series data, and patterns for addressing bottlenecks/hot spots for reads, writes, and storage.
For more information:
• Azure Cosmos DB (overview) https://aka.ms/azfr/400/01
• Azure Cosmos DB (docs) https://aka.ms/azfr/400/02
• Partition and scale in Azure Cosmos DB https://aka.ms/azfr/400/03
• Create a Free Account (Azure) https://aka.ms/azfr/400/04
You need to click Enroll to unlock the Learning Path courseware.
You are now enrolled in this learning path. Use the Launch Course or Launch Assessment buttons below to access the courseware.
|To access this content, you will need an access or discount code. If you have an access or discount code, please enter it here and click Submit.|
|No Items Found.|