- Course
Microsoft Azure Cosmos DB Developer (DP-420): Design and Implement Data Models
Preparing for the Microsoft Azure Cosmos DB Developer (DP-420) exam? This course teaches key concepts of Cosmos DB—throughput, partitioning, global distribution, and more—and shows you how to implement and query scalable NoSQL data models.
Intermediate
- Course
Microsoft Azure Cosmos DB Developer (DP-420): Design and Implement Data Models
Preparing for the Microsoft Azure Cosmos DB Developer (DP-420) exam? This course teaches key concepts of Cosmos DB—throughput, partitioning, global distribution, and more—and shows you how to implement and query scalable NoSQL data models.
Intermediate
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This course is included in the libraries shown below:
- Cloud
- Data
What you'll learn
Modern cloud applications require robust, highly scalable, extremely fast, and low-cost data stores – and Azure Cosmos DB provides just that.
In this course, Microsoft Azure Cosmos DB Developer (DP-420): Design and Implement Data Models, you’ll gain the ability to build and query a scalable, high-performing, and cost-effective non-relational data model, using the NoSQL API of Azure Cosmos DB.
First, you’ll explore the core concepts of Cosmos DB, including its APIs, throughput, global distribution, partitioning, indexing, and more.
Next, you’ll discover various techniques for building a scalable, high-performance, and cost-effective data model.
Finally, you’ll learn how to effectively query data and programmatically perform advanced operations using the Cosmos DB SDK for .NET.
When you’re finished with this course, you’ll have the skills and knowledge of Azure Cosmos DB needed to pass the DP-420 certification exam and effectively design and implement NoSQL data models.
Microsoft Azure Cosmos DB Developer (DP-420): Design and Implement Data Models
Intermediate
Table of contents
Mohit is a Data Engineer, a Microsoft Certified Trainer (MCT) and a consultant. Mohit has 15+ years of extensive experience in architecting large scale Business Intelligence, Data Warehousing and Big Data solutions with companies like Microsoft and some leading investment banks.
