Implement a data modeling and partitioning strategy for Azure Cosmos DB SQL API

Implement a data modeling and partitioning strategy for Azure Cosmos DB SQL API
at
Microsoft
Overview

Skills you will learn

What are the course deliverables?

More about this course

In this learning path, you?ll learn how Azure Cosmos DB uses partitioning to scale containers and how spending some time thinking about your data model helps to meet the performance needs of your applications
This learning path helps prepare you for Exam DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
Define the entities? data model, along with containers to store the data with a partition key that will result in an efficient and scalable data store for the application
Identify strategies for managing relationships between data entities, such as customers and sales data

Implement a non-relational data model

Introduction

What's the difference between NoSQL and relational databases?

Identify access patterns for your app

When to embed or reference data

Exercise: Measure performance for customer entities

Choose a partition key

Model small lookup entities

Knowledge check

Summary

Design a data partitioning strategy

Introduction

Denormalize data in your model

Manage referential integrity by using change feed

Combine multiple entities in the same container

Denormalize aggregates in the same container

Finalize the data model

Exercise advanced modeling patterns

Knowledge check

Summary

Eligibility criteria Up Arrow Icon

Before starting this learning path, you should already have:Familiarity with Azure and the Azure portal.Experience programming with C#. If you have no previous programming experience, we recommend you complete the Take your first steps with C# learning path before starting this one.

Conditional Offer Up Arrow Icon