{"id":9628,"date":"2025-02-24T11:13:52","date_gmt":"2025-02-24T19:13:52","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/cosmosdb\/?p=9628"},"modified":"2025-03-11T08:42:27","modified_gmt":"2025-03-11T15:42:27","slug":"new-azure-cosmos-db-design-patterns-video-series-learn-implement-and-contribute","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/cosmosdb\/new-azure-cosmos-db-design-patterns-video-series-learn-implement-and-contribute\/","title":{"rendered":"New Azure Cosmos DB Design Patterns Video Series \u2013 Learn, Implement, and Contribute!"},"content":{"rendered":"

We\u2019re excited to introduce the Azure Cosmos DB Design Patterns<\/strong> video series\u2014your go-to resource for learning how to design scalable, efficient, and cost-effective applications with Azure Cosmos DB<\/strong>.<\/p>\n

Built on real-world use cases, each episode explores a proven design pattern<\/strong>, walking through how it works, when to use it, and how to implement it using sample code from the Azure Cosmos DB Design Patterns GitHub repository<\/a><\/strong>.<\/p>\n

Hosted by Mark Brown<\/a><\/strong> (Azure Cosmos DB Principal Program Manager) and Jasmine Greenaway<\/a><\/strong> (Microsoft Senior Cloud Advocate), this series provides actionable insights to help you optimize your data models, queries, and application architecture. Whether you’re dealing with high-frequency data ingestion, schema evolution, distributed transactions, or performance optimization<\/strong>, these patterns will help you get the most out of Azure Cosmos DB.<\/p>\n

What’s Covered in the Series?<\/h2>\n