Optimize query and operation performance in Azure Cosmos DB for NoSQL
Offered By: Microsoft via Microsoft Learn
Course Description
Overview
- Module 1: Tune the indexing policy based on your SQL queries in Azure Cosmos DB SQL API.
- 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.
- 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.
- Implement the integrated cache
- Configure integrated cache options
After completing this module, you'll be able to:
After completing this module, you'll be able to:
After completing this module, you'll be able to:
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
Tags
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