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Data Modelling and Partitioning in Azure Cosmos DB
What Every Relational Database User Needs to Know
For many newcomers to Azure Cosmos DB, the learning process starts with data modeling and partitioning. How should I structure my data? When should I co-locate data in a single container? Should I de-normalize or normalize properties? What’s the best partition key for my model? In this demo-filled session, we discuss the strategies and thought process one should adopt for modeling and partitioning data effectively in Azure Cosmos DB. Using a real-world example, we explore Azure Cosmos DB key concepts—request units (RU), partitioning, and data modeling—and how their understanding guides the path to a data model that yields best performance and scalability. If you're familiar with relational databases, and want to dive into the non-relational world, this is the session for you.
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| Rating | Not enough ratings |
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| Length | 0.8 hours |
| Starts | On Demand (Start anytime) |
| Cost | $35/month (Access to entire library- free trial available) |
| From | Pluralsight |
| Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
| Language | English |
| Subjects | IT & Networking |
| Tags | Data Professional |
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| Rating | Not enough ratings |
|---|---|
| Length | 0.8 hours |
| Starts | On Demand (Start anytime) |
| Cost | $35/month (Access to entire library- free trial available) |
| From | Pluralsight |
| Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
| Language | English |
| Subjects | IT & Networking |
| Tags | Data Professional |
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