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Optimize query and operation performance in Azure Cosmos DB for NoSQL

Microsoft via Microsoft Learn

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Details

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Provider

Microsoft Learn
Pricing

Free Online Course
Languages

English
Duration & workload

1 hour 54 minutes
Sessions

On-Demand
Level

Intermediate

Found in

Overview

Module 1: Tune the indexing policy based on your SQL queries in Azure Cosmos DB SQL API.

After completing this module, you'll be able to:

Customize an indexing policy for read-heavy workloads
Customize an indexing policy for write-heavy workloads

Module 2: Measure the performance of an indexing policy in Azure Cosmos DB SQL API.

After completing this module, you'll be able to:

Tune an indexing policy for specific queries
Measure the cost for a query or operation

Module 3: Implement, configure, and monitor integrated cache in Azure Cosmos DB SQL API.

After completing this module, you'll be able to:

Implement the integrated cache
Configure integrated cache options

Syllabus

Module 1: Customize an indexing policy in Azure Cosmos DB SQL API

Introduction
Index usage
Review read-heavy index patterns
Review write-heavy index patterns
Exercise - Optimize an Azure Cosmos DB SQL API container's index policy for common operations
Knowledge check
Summary

Module 2: Measure index performance in Azure Cosmos DB SQL API

Introduction
Enable indexing metrics
Analyze indexing metrics results
Measure query cost
Measure point operation cost
Exercise - Optimize an Azure Cosmos DB SQL API container's index policy for a specific query
Knowledge check
Summary

Module 3: Implement integrated cache in Azure Cosmos DB SQL API

Introduction
Review workloads that benefit from the cache
Enable integrated cache
Configure cache staleness
Knowledge check
Summary

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