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Plan and implement Azure Cosmos DB SQL API

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Free Online Course: Plan and implement Azure Cosmos DB SQL API provided by Microsoft Learn is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge.

Microsoft via Microsoft Learn
1-2 hours worth of material
Self Paced
Overview

    • Module 1: Familiarize yourself with the various configuration options for a new Azure Cosmos DB SQL API account.

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

      • Evaluate various requirements of your application
    • Module 2: Select between the various throughput offerings in Azure Cosmos DB SQL API.

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

      • Compare the various service and throughput offerings for Azure Cosmos DB
      • Migrate between standard and autoscale throughput
    • Module 3: Migrate data into and out of Azure Cosmos DB SQL API using Azure services and open-source solutions.

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

      • Migrate data using Azure services
      • Migrate data using Spark or Kafka

Syllabus

    • Module 1: Plan Resource Requirements
      • Introduction
      • Understand throughput
      • Evaluate throughput requirements
      • Evaluate data storage requirements
      • Time-to-live (TTL)
      • Plan for data retention with time-to-live (TTL)
      • Knowledge check
      • Summary
    • Module 2: Configure Azure Cosmos DB SQL API database and containers
      • Introduction
      • Serverless
      • Compare serverless vs. provisioned throughput
      • Autoscale throughput
      • Compare autoscale vs. standard (manual) throughput
      • Migrate between standard (manual) and autoscale throughput
      • Exercise: Configure throughput for Azure Cosmos DB SQL API with the Azure portal
      • Knowledge check
      • Summary
    • Module 3: Move data into and out of Azure Cosmos DB SQL API
      • Introduction
      • Move data by using Azure Data Factory
      • Move data by using a Kafka connector
      • Move data by using Stream Analytics
      • Move data by using the Azure Cosmos DB Spark connector
      • Exercise: Migrate existing data using Azure Data Factory
      • Knowledge check
      • Summary

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