Plan and implement Azure Cosmos DB for NoSQL
Offered By: Microsoft via Microsoft Learn
Course Description
Overview
- Module 1: Familiarize yourself with the various configuration options for a new Azure Cosmos DB SQL API account.
- Evaluate various requirements of your application
- Module 2: Select between the various throughput offerings in Azure Cosmos DB SQL API.
- 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.
- Migrate data using Azure services
- Migrate data using Spark or Kafka
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: 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
Tags
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