Data modeling, partitioning, and pricing in 2 minutes

Data modeling, partitioning, and pricing in 2 minutes

Develop winning data modeling, partitioning, and pricing strategies for your NoSQL app development project with these 2-minute videos.

When developing applications with a NoSQL database like Azure Cosmos DB, some of your earliest decisions can dramatically impact speed, performance, scalability and costs. To help you create the best data modeling, partitioning, and pricing strategies for your workloads, we’ve released three videos that explain these concepts in less than two minutes. You’ll come to understand the impacts and tradeoffs of various approaches, and how to make the right decisions for your workloads.

Data modeling for speed and cost management

At its most basic, data modeling is how you establish the rules for storing and accessing data. It’s an important first step in database and application design because speed and costs – especially for frequent queries – are greatly impacted by your data modeling strategy. In this two-minute video, you’ll discover the key questions to consider in your data model design, the different approaches you can take, and how Azure Cosmos DB change feed (a hero feature you should know about!) can help.

Data partitioning for performance at scale

Once you’ve got your data model sorted, it’s time to turn your attention to your data partitioning strategy. How you write data to servers impacts read and write efficiency and costs, especially as you scale. This is where a well-planned partitioning approach comes in because your partition key is, well, the “key to success”. (Sorry. I had to.) In this two-minute video, you’ll learn the basics of partitioning, and get tips for how to choose the right partition key for your workload.

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