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Microsoft

Optimize query and operation performance in Azure Cosmos DB for NoSQL

Microsoft via Microsoft Learn

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  • 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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